Data Engineer | Hadoop|GCP

💰 ₹18,000 - ₹28,800 (Est.) 📍 Pune 🕐 3 days ago

Job Description

Position Overview

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

Location- Pune, Margarpatta

Corporate Title:

Associate to AVP

Role Description

Senior 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, developed through addressing enhancements and fixes to products. Build reliability and resiliency into solutions through early testing, peer reviews and automating the delivery lifecycle.

Successful candidate should be able to work independently on medium to large sized projects with strict deadlines. 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 along-side a geographically dispersed team.

The position is required as part of the build out of AFC Tech internal development team in India. The overall team will primarily deliver improvements in anti-financial crime capabilities that are major components of the regulatory portfolio, addressing various regulatory commitments to mandated 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
• Analysing 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 a senior developer for various data sourcing in Hadoop and GCP.
• Own unit-testing, UAT deployment, End-User sign-off & Prod Go-Live.
• Ensuring new code is tested, both at unit level and at system level.
• Design, develop and peer review new code/functionality.
• Operate as a team member of an Agile Scrum team.

Skills & Experience
• More than 8 years of coding experience in reputed organizations.
• Hands on experience on BitBucket & Jenkins actions.
• Proficient in Hadoop, Python, Spark, SQL, Unix, Pentaho, Hive.
• Basic understanding of On-Prem, Edge & GCP data security.
• Hands on development experience on large ETL/Big Data systems, including GCP.
• Hands on experience on CloudBuild, ArtifactRegistry, CloudDNS, CloudLoadBalancing etc.
• Hands on experience on DataFlow, CloudComposer, 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.
• Data visualisation experience in Tableau.

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

Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.

We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, ****** orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.

Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides

💡 Quick Summary

Seeking a career-building opportunity? The Data Engineer | Hadoop|GCP position is now open for candidates interested in the Bank Jobs sector. This role in Pune offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.

Sponsored

Job Details

Company Name: Deutsche Bank Pune, Maharashtra

Frequently Asked Questions

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The expected salary for Data Engineer | Hadoop|GCP in Pune is ₹18,000 - ₹28,800 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Data Engineer | Hadoop|GCP is an on-site position based in Pune. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Data Engineer | Hadoop|GCP. Previous experience in Bank Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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