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1CONFIDENTIAL
BIG DATA
2018
at
EPAM
2CONFIDENTIAL
Taras Myklush
Director, Software Engineering.
15 years in IT.
Head of Intelligent Enterprise solution
practice in Lviv
Global Data staffing coordinator
INTRO
Bohdan Hay
Software Engineering manager
13 years in IT.
Delivery and resource management. Growing
Big Data Competency in Lviv office
Head of Splunk practice
© EPAM 2017. Private & Confidential
3CONFIDENTIAL
FOUNDED IN FY 2018
REVENUE
GUIDANCE
Y O Y
CO N S T AN T
CU R R E N CY O R G A N I C
G R O W T H
REVENUE BY GEOGRAPHY*
VERTICAL FOCUS*
1993 A T L E A S T 2 4 %
R E P O R T E D &
2 2 % I N
CO N S T A N T
CU R R E N CY
20+%
22,900+ Engineers, Designers and Consultants
25,900+ EPAMers
58% 35% 5% 2%
N O R T H
A M ER I C A
EU R O P E C I S A P A C
FINANCIAL
SERVICES
TRAVEL &
CONSUMER
SOFTWARE
& HI-TECH
BUSINESS
INFORMATION &
MEDIA
LIFE
SCIENCES &
HEALTHCARE
EMERGING
23% 22% 20% 18% 9% 8%
U S
H EA D QU A R T ER ED
P U B L I C C O M P A N Y
( N Y S E: EP A M )
SERVICE MIX
S O F T W AR E E N G I N E E R I N G & P R O D U C T / P L AT F O R M D E V E L O P ME N T
Q A AN D T E S T AU T O MAT I O N
MAN AG E D S E R V I C E S
I N F R AS T R U C T U R E & L I C E N S I N G
25+ COUNTRIES
D I G I T A L B U S I N ES S P R O D U C T EN G I N EER I N G
M A N A G ED S ER V I C ES C O N S U L T I N G
* Data represents FY 2017 percentage of revenues
FY
2017
REVENUE
$1.45B
Fast Facts
4CONFIDENTIAL
OUR DELIVERY CENTERS
NORTH AMERICA 100+
UK 20+
RUSSIA 300+
UKRAINE 350+
POLAND 50+
HUNGARY 50+
BIG DATA DELIVERY CENTERS LOCATIONS
NORTH AMERICA
WASHINGTON, DC
SAN FRANCISCO, CA
SEATTLE, WA
HUSTON, TX
TORONTO
EUROPE
LONDON
BUDAPEST
SZEGED
KRAKOW
GDANSK
KIYV
LVIV
MINSK
ST. PETERSBURG
OVER
1400
DATA
PROFESSIONALS
MEXICO 20+
MEXICO
GUADALAJARA
BELARUS 350+
CANADA 50+
INDIA 90+
5CONFIDENTIAL
OUR PEOPLE
• Data Strategy and Data Governance
• Architecture assessments and road mapping
• Integration with Enterprise ecosystem
• Infrastructure creation for HA clusters
• Integration with Enterprise Security
• Network infrastructure setup on bare
metal or cloud environment
• CI/CD
• Expertise in search engines and SEO
• Relevancy tuning
• Natural language processing
• Semantic search
DATA ARCHITECTS
DATA DEVOPS ENGINEERSSEARCH ENGINEERS
• Exploratory data analysis
• Machine learning models and algorithms
• Recommendation engines, predictive & prescriptive analytics
DATA SCIENTISTS
DATA ENGINEERS
• Advanced Data Solutions design and
implementation
• Data and Analytics platforms
development
• Performance tuning and optimization
• Visualization and reporting
6CONFIDENTIAL
SERVICES WE PROVIDE
DATA STRATEGY
DATA ENGINEERING DATA SCIENCE
SEARCH ENGINEERING
• Strategy to support business
transformation
• Fast discovery process
• Broad range of technology solutions
blueprints
• Implementation ready roadmaps
• Practical data management solutions
• Proven architectures and methods
• In depth technology expertise
• Full range of services
• Business focused
• Innovative methods
• Data science toolset to fit the
problem
• Agile data science
• Enterprise search engineering
• Search analytics and insights
• Semantic search and knowledge
management
• Chat bots and virtual advisors
7CONFIDENTIAL
HOW ARE WE DIFFERENT
• Partner to the leading
analytical tool
providers
• Contribution to open-
source tools
development
• 7 years of history of
enterprise big data
implementations
• Dedicated CC to capture
and disseminate the
expertise and know-how
• Diligent pre-selection
process and intensive 3
months training program
• Over 20% of engineers have
relevant vendor
certification
• Strong community
• Industry best practice in
digital product delivery
process
• Continuous value delivery
through agile process
W E K N O W
T H E T O O L S
A C C E L E R A T O R S A N D
B L U E P R I N T S
S K I L L E D E N G I N E E R S
C O N T I N U O U S
D E L I V E R Y
8CONFIDENTIAL
HOW WE BUILD GOOD ENGINEERS
• Growing demand on Big Data technologies on the
market requires qualified engineers;
• Lack of experienced Big Data engineers on the market
makes hiring inefficient;
• We need to strengthen our expertise and stay up-to-
date with rapidly evolving industry;
• Creating Big Data skill matrix;
• Tracking trends on the market and maintaining
technologies list;
• Creating Video course: video lectures, homework,
screenings, test project and final certification;
• Periodical assessment procedure and grow portal to
guide engineers how to develop Big Data career;
• More than 400 engineers went through this educational
program and successfully joined Big Data projects;
• 80+ successful external leader market certifications
(Hortonworks, AWS, DataStax and Cloudera);
• 5th edition of the training over the last 5 years
Video Portal
PROBLEM
OBJECTIVES
RESULTS
9CONFIDENTIAL
BIG DATA
IN
LVIV OFFICE
10CONFIDENTIAL
FACTS
acquired by EPAM
OFFICE
2007
2001 founded
year
year
1300+
~170
annually
1500+
SENIORITY
Lead Senior Middle Junior
14% 27% 42% 15%
+110 +358
2015 2016-2017
BIG DATA
~70
Big Data ~68%
Devops ~25%
DataScience ~7% Location - founder
~20%
Certified
employees
24 ONGOING BIG DATA PROJECTS
Projects by Industry
1
1
2
4
4
4
8 Retail & Distribution
Energy
Semiconductors & Semiconductor Equipment
Healthcare & Life Science
Business Information and Media
Financial Services
IT Services
Projects by Country
1
6
1
16
UNITED KINGDOM
SWITZERLAND
CANADA
USA
100%
reimbursement
11CONFIDENTIAL© EPAM 2016. Private & Confidential
BIG DATA
Developer
Profile NoSQL
Cloud
Containerization
Hadoop
Ecosystem
Key
Technologies Console
Multi-
Language
Search
Engines
• Spark Core, Streaming
SQL, Mlib
• Kafka
• NiFi
• Linux/Unix
• Networking
• Bash Scripts
• Configuration mgmt
• Docker
• Apache Mesos
• AWS ECR
• Solr
• ElasticSearch
• Amazon CloudSearch
• AWS
• Azure
• Google Cloud
• Java
• Scala
• Python
• HDFS
• YARN
• MapReduce
• Hive
• Cassandra
• Hbase, Accumulo
• MongoDB
12CONFIDENTIAL
EMPLOYEE GROWTH
• Company Culture, Company
Programs & Services
• Engineering Excellence
• User profile
• Passing internal BD trainings
• Socialization
• Preparation to Customer
Interview
• Assigning and performing on a
project
• Work on reputation
• Contribution to competency and
company
• Building relationships
• PM/DM feedback
• PDP
• Performing on a project
• Performance evaluation
• Success of PDP goals
• Writing feedback on team
mates
ADAPTATION PROBATION PROMOTION
OutputDurationFrequencyActivity
2 - 4 W e e k s u p t o 3 M o n t h s 6 m o n t h s
 EPAMer who knows how to win
 Established communication
channels
 Compliance to BD technology
standards
 Personal present from the
company
 Access to all perks (insurance,..)
 Empowered family member
 Discussed results
 adjustment to Development Plan
 Salary review
APPRAISAL
Once
 New tittle
 Salary review
 Self-confidence
• Significant enhancement of skills
• Preparing to assessment
• Passing an assessment
~ 1 2 - 1 8 m o n t h s
Once According to the planTwice per year
13CONFIDENTIAL
OUR PECULIARITIES
• Cutting edge technologies
• Continuous demand on the market
• Learning curve is higher than for reg. programming
language
• More and more data
• Demand on onshore presence
• Demand on young talents (2 labs this
year)
League A
Perspective
Projects
Expertise development
• Local events, meetups
• Mentorship program
• Secondary skills development
• Global trainings
• Bootcamps
• No UI
• Projects from scratch
• Lots of configurations and transformations )
14CONFIDENTIAL© EPAM 2016. Private & Confidential
BIG DATA
Developer
Profile
Cloud
Multi-
Language
BOOTCAMP
Highlights:
Feedback:
“In general, the course was marvelous.
Highest professional level of the speakers,
their responsiveness and openness, pretty
good organization are the key points why i
consider the course was a great experience”
• May-June 2018
• 65 Applicants
• 11 Trainers
• Comprehensive lectures
• Baseline for new global training
• 4 hires
15CONFIDENTIAL
THANK YOU!

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Big Data at EPAM: An SEO-Optimized Title

  • 2. 2CONFIDENTIAL Taras Myklush Director, Software Engineering. 15 years in IT. Head of Intelligent Enterprise solution practice in Lviv Global Data staffing coordinator INTRO Bohdan Hay Software Engineering manager 13 years in IT. Delivery and resource management. Growing Big Data Competency in Lviv office Head of Splunk practice © EPAM 2017. Private & Confidential
  • 3. 3CONFIDENTIAL FOUNDED IN FY 2018 REVENUE GUIDANCE Y O Y CO N S T AN T CU R R E N CY O R G A N I C G R O W T H REVENUE BY GEOGRAPHY* VERTICAL FOCUS* 1993 A T L E A S T 2 4 % R E P O R T E D & 2 2 % I N CO N S T A N T CU R R E N CY 20+% 22,900+ Engineers, Designers and Consultants 25,900+ EPAMers 58% 35% 5% 2% N O R T H A M ER I C A EU R O P E C I S A P A C FINANCIAL SERVICES TRAVEL & CONSUMER SOFTWARE & HI-TECH BUSINESS INFORMATION & MEDIA LIFE SCIENCES & HEALTHCARE EMERGING 23% 22% 20% 18% 9% 8% U S H EA D QU A R T ER ED P U B L I C C O M P A N Y ( N Y S E: EP A M ) SERVICE MIX S O F T W AR E E N G I N E E R I N G & P R O D U C T / P L AT F O R M D E V E L O P ME N T Q A AN D T E S T AU T O MAT I O N MAN AG E D S E R V I C E S I N F R AS T R U C T U R E & L I C E N S I N G 25+ COUNTRIES D I G I T A L B U S I N ES S P R O D U C T EN G I N EER I N G M A N A G ED S ER V I C ES C O N S U L T I N G * Data represents FY 2017 percentage of revenues FY 2017 REVENUE $1.45B Fast Facts
  • 4. 4CONFIDENTIAL OUR DELIVERY CENTERS NORTH AMERICA 100+ UK 20+ RUSSIA 300+ UKRAINE 350+ POLAND 50+ HUNGARY 50+ BIG DATA DELIVERY CENTERS LOCATIONS NORTH AMERICA WASHINGTON, DC SAN FRANCISCO, CA SEATTLE, WA HUSTON, TX TORONTO EUROPE LONDON BUDAPEST SZEGED KRAKOW GDANSK KIYV LVIV MINSK ST. PETERSBURG OVER 1400 DATA PROFESSIONALS MEXICO 20+ MEXICO GUADALAJARA BELARUS 350+ CANADA 50+ INDIA 90+
  • 5. 5CONFIDENTIAL OUR PEOPLE • Data Strategy and Data Governance • Architecture assessments and road mapping • Integration with Enterprise ecosystem • Infrastructure creation for HA clusters • Integration with Enterprise Security • Network infrastructure setup on bare metal or cloud environment • CI/CD • Expertise in search engines and SEO • Relevancy tuning • Natural language processing • Semantic search DATA ARCHITECTS DATA DEVOPS ENGINEERSSEARCH ENGINEERS • Exploratory data analysis • Machine learning models and algorithms • Recommendation engines, predictive & prescriptive analytics DATA SCIENTISTS DATA ENGINEERS • Advanced Data Solutions design and implementation • Data and Analytics platforms development • Performance tuning and optimization • Visualization and reporting
  • 6. 6CONFIDENTIAL SERVICES WE PROVIDE DATA STRATEGY DATA ENGINEERING DATA SCIENCE SEARCH ENGINEERING • Strategy to support business transformation • Fast discovery process • Broad range of technology solutions blueprints • Implementation ready roadmaps • Practical data management solutions • Proven architectures and methods • In depth technology expertise • Full range of services • Business focused • Innovative methods • Data science toolset to fit the problem • Agile data science • Enterprise search engineering • Search analytics and insights • Semantic search and knowledge management • Chat bots and virtual advisors
  • 7. 7CONFIDENTIAL HOW ARE WE DIFFERENT • Partner to the leading analytical tool providers • Contribution to open- source tools development • 7 years of history of enterprise big data implementations • Dedicated CC to capture and disseminate the expertise and know-how • Diligent pre-selection process and intensive 3 months training program • Over 20% of engineers have relevant vendor certification • Strong community • Industry best practice in digital product delivery process • Continuous value delivery through agile process W E K N O W T H E T O O L S A C C E L E R A T O R S A N D B L U E P R I N T S S K I L L E D E N G I N E E R S C O N T I N U O U S D E L I V E R Y
  • 8. 8CONFIDENTIAL HOW WE BUILD GOOD ENGINEERS • Growing demand on Big Data technologies on the market requires qualified engineers; • Lack of experienced Big Data engineers on the market makes hiring inefficient; • We need to strengthen our expertise and stay up-to- date with rapidly evolving industry; • Creating Big Data skill matrix; • Tracking trends on the market and maintaining technologies list; • Creating Video course: video lectures, homework, screenings, test project and final certification; • Periodical assessment procedure and grow portal to guide engineers how to develop Big Data career; • More than 400 engineers went through this educational program and successfully joined Big Data projects; • 80+ successful external leader market certifications (Hortonworks, AWS, DataStax and Cloudera); • 5th edition of the training over the last 5 years Video Portal PROBLEM OBJECTIVES RESULTS
  • 10. 10CONFIDENTIAL FACTS acquired by EPAM OFFICE 2007 2001 founded year year 1300+ ~170 annually 1500+ SENIORITY Lead Senior Middle Junior 14% 27% 42% 15% +110 +358 2015 2016-2017 BIG DATA ~70 Big Data ~68% Devops ~25% DataScience ~7% Location - founder ~20% Certified employees 24 ONGOING BIG DATA PROJECTS Projects by Industry 1 1 2 4 4 4 8 Retail & Distribution Energy Semiconductors & Semiconductor Equipment Healthcare & Life Science Business Information and Media Financial Services IT Services Projects by Country 1 6 1 16 UNITED KINGDOM SWITZERLAND CANADA USA 100% reimbursement
  • 11. 11CONFIDENTIAL© EPAM 2016. Private & Confidential BIG DATA Developer Profile NoSQL Cloud Containerization Hadoop Ecosystem Key Technologies Console Multi- Language Search Engines • Spark Core, Streaming SQL, Mlib • Kafka • NiFi • Linux/Unix • Networking • Bash Scripts • Configuration mgmt • Docker • Apache Mesos • AWS ECR • Solr • ElasticSearch • Amazon CloudSearch • AWS • Azure • Google Cloud • Java • Scala • Python • HDFS • YARN • MapReduce • Hive • Cassandra • Hbase, Accumulo • MongoDB
  • 12. 12CONFIDENTIAL EMPLOYEE GROWTH • Company Culture, Company Programs & Services • Engineering Excellence • User profile • Passing internal BD trainings • Socialization • Preparation to Customer Interview • Assigning and performing on a project • Work on reputation • Contribution to competency and company • Building relationships • PM/DM feedback • PDP • Performing on a project • Performance evaluation • Success of PDP goals • Writing feedback on team mates ADAPTATION PROBATION PROMOTION OutputDurationFrequencyActivity 2 - 4 W e e k s u p t o 3 M o n t h s 6 m o n t h s  EPAMer who knows how to win  Established communication channels  Compliance to BD technology standards  Personal present from the company  Access to all perks (insurance,..)  Empowered family member  Discussed results  adjustment to Development Plan  Salary review APPRAISAL Once  New tittle  Salary review  Self-confidence • Significant enhancement of skills • Preparing to assessment • Passing an assessment ~ 1 2 - 1 8 m o n t h s Once According to the planTwice per year
  • 13. 13CONFIDENTIAL OUR PECULIARITIES • Cutting edge technologies • Continuous demand on the market • Learning curve is higher than for reg. programming language • More and more data • Demand on onshore presence • Demand on young talents (2 labs this year) League A Perspective Projects Expertise development • Local events, meetups • Mentorship program • Secondary skills development • Global trainings • Bootcamps • No UI • Projects from scratch • Lots of configurations and transformations )
  • 14. 14CONFIDENTIAL© EPAM 2016. Private & Confidential BIG DATA Developer Profile Cloud Multi- Language BOOTCAMP Highlights: Feedback: “In general, the course was marvelous. Highest professional level of the speakers, their responsiveness and openness, pretty good organization are the key points why i consider the course was a great experience” • May-June 2018 • 65 Applicants • 11 Trainers • Comprehensive lectures • Baseline for new global training • 4 hires

Editor's Notes

  1. EPAM became a US/Public company in 2012 and has a very consistent/aggressive growth story Maintaining constant growth is very closely tied to employee job satisfaction (very low attrition rates) as well as a very focused talent acquisition strategy. Revenue: Significant concentration in NA and Europe which continues to grow while CIS has slowed, APAC is strategic area of growth tied to expanding client concentration & augmented by a acquisitions Industry: Long history in financial services, working with 3 of the 5 leading global banks. Travel & Consumer key focus for us with lot of work for Expedia & Hotels.com – building deep expertise in booking engines and more. Software and High Tech has always been a focus, our history here has given us a significant advantage in understanding how to build software for some of the worlds leading brands and then bringing these learnings into our practice and expanding to other areas in the new digital era where software is a companies brand. Media and Entertainment is a fast growing vertical for EPAM working with global brands. Life Sciences and Healthcare are our fastest area of growth. Acquisitions in 2014, 2015 & 2017 have increased our client base and added additional capabilities to our team. Within emerging verticals we place telco which has expanded significantly esp in Europe and Energy which had long been a key Service Mix -Software Engineering and Product Development is our main focus, strongly augmented and often intertwined with QA/Testing. -Managed services and Infrastrastructure /licensing are relatively small component
  2. Paul
  3. EPAM became a US/Public company in 2012 and has a very consistent/aggressive growth story Maintaining constant growth is very closely tied to employee job satisfaction (very low attrition rates) as well as a very focused talent acquisition strategy. Revenue: Significant concentration in NA and Europe which continues to grow while CIS has slowed, APAC is strategic area of growth tied to expanding client concentration & augmented by a acquisitions Industry: Long history in financial services, working with 3 of the 5 leading global banks. Travel & Consumer key focus for us with lot of work for Expedia & Hotels.com – building deep expertise in booking engines and more. Software and High Tech has always been a focus, our history here has given us a significant advantage in understanding how to build software for some of the worlds leading brands and then bringing these learnings into our practice and expanding to other areas in the new digital era where software is a companies brand. Media and Entertainment is a fast growing vertical for EPAM working with global brands. Life Sciences and Healthcare are our fastest area of growth. Acquisitions in 2014, 2015 & 2017 have increased our client base and added additional capabilities to our team. Within emerging verticals we place telco which has expanded significantly esp in Europe and Energy which had long been a key Service Mix -Software Engineering and Product Development is our main focus, strongly augmented and often intertwined with QA/Testing. -Managed services and Infrastrastructure /licensing are relatively small component