Role: Big Data Lead
We are looking for an Engineering and Solution Lead to contribute technically for the design and
development of advanced analytical platform leveraging Big Data technologies.

Resposibilities
Lead a development team of data engineers
Implement a big data enterprise data lake, BI and analytical system using Hive LLAP, Spark,
Kafka, Hive, Hbase
Responsible for design, development, testing oversight and implementation
Works closely with program manager, scrum master, and architects to convey technical impacts
to development timeline and risks
Coordinate with data engineers and API developers to drive program delivery.
Drive technical development and application standards across enterprise data lake & Retail Data
domain
Benchmark and debug critical issues with algorithms and software as they arise.
Lead and assist with the technical design and implementation of the Big Data cluster in various
environments.
Guide/mentor development team for example to create custom common utilities/libraries that can
be reused in multiple big data development efforts.
Accomplish results by communicating expectations; planning, monitoring, and appraising results;
coaching, counselling, and disciplining employees; developing, coordinating, and enforcing
systems, policies, procedures, and productivity standards.

Must have a bachelor s degree in Computer Science, Engineering, or a related field
10+ consecutive years in the software engineering profession
4+ years of hands-on experience in design and development of large scale Big Data applications
in platforms such as Hortonworks, Cloudera
Extensive experience in Java, Spark, Hive, Kafka, Scala, Python technologies
Must have experience with design, development and deployment in the DevOps environment.
Should have led on the design and implementation of an E2E Data warehousing implementation
including source system integration and data lake implementation in a Big Data environment
Must be willing to work in a fast-paced environment with an on shore offshore distributed Agile
teams.
Must have the ability to develop and maintain strong collaborative relationships at all levels
across IT and Business Stakeholders

Must have the ability to prioritize multiple tasks and deal with urgent requests in a fast-paced and
demanding environment.
Excellent written and oral communication skills. Adept and presenting complex topics, influencing
and executing with timely / actionable follow-through
Good understanding of FSLDM or equivalent financial/Banking Datawarehouse models

Desired Characteristics:
Ability to provide innovative ideas and see through implementation
Extensive experience working with data warehouses and big data platforms
Demonstrated experience building strong relationships with senior leaders
Outstanding written and verbal skills and the ability to influence and motivate teams
Banking domain knowledge will be preferable.
Have done Customer Facing role in earlier engagement