Data Engineer (ETL, Big Data, Hadoop, Spark, GCP), Associate

Role Description

• Engineer is responsible for developing and delivering elements of engineering solutions to accomplish business goals.
• Awareness is expected of the important engineering principles of the bank. Root cause analysis skills develop through addressing enhancements and fixes 2 products build reliability and resiliency into solutions through early testing peer reviews and automating the delivery life cycle.
• Successful candidate should be able to work independently on medium to large sized projects with strict deadlines.
• Successful candidates should be able to work in a cross application mixed technical environment and must demonstrate solid hands-on development track record while working on an agile methodology. The role demands working alongside a geographically dispersed team.
• The position is required as a part of the buildout of Compliance tech internal development team in India.
• The overall team will primarily deliver improvements in compliance tech capabilities that are major components of the regular regulatory portfolio addressing various regulatory common commitments to mandate monitors.

Your key responsibilities

• Analyzing data sets and designing and coding stable and scalable data ingestion workflows also integrating into existing workflows
• Working with team members and stakeholders to clarify requirements and provide the appropriate ETL solution.
• Hands-on experience for various data sourcing in Hadoop also GCP.
• Ensuring new code is tested both at unit level and system level design develop and peer review new code and functionality.
• Operate as a team member of an agile scrum team.
• Root cause analysis skills to identify bugs and issues for failures.
• Support Prod support and release management teams in their tasks.

Your skills and experience:

• More than 7+ years of coding experience in experience and reputed organizations
• Hands on experience in Bitbucket and CI/CD pipelines
• Proficient in Hadoop, Python, Spark, SQL Unix and Hive
• Basic understanding of on Prem and GCP data security
• Hands on development experience on large ETL/ big data systems .GCP being a big plus
• Hands on experience on cloud build, artifact registry ,cloud DNS ,cloud load balancing etc.
• Hands on experience on Data flow, Cloud composer, Cloud storage ,Data proc etc.
• Basic understanding of data quality dimensions like Consistency, Completeness, Accuracy, Lineage etc.
• Hands on business and systems knowledge gained in a regulatory delivery environment.
• Banking experience regulatory and cross product knowledge.
• Passionate about test driven development.