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

Job Title: Data Engineer (ETL, Big Data, Hadoop, Spark, GCP) - AS

Location: Pune, India

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 Com in compliance tech capabilities that are major components of the regular regulatory portfolio addressing various regulatory common commitments to mandate monitors.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

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.
• Work as a senior developer for developing analytics algorithm on top of ingested data.
• Work as though senior developer 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 6+ 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.
• Prior experience with release management tasks and responsibilities.
• Data visualization experience in tableau is good to have.

How we’ll support you

• Training and development to help you excel in your career.
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression.
• A range of flexible benefits that you can tailor to suit your needs.

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.htm

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.