Senior Data Engineer, AVP
Pune - Margarpatta, India
Deutsche Bank
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Job Title: Senior Data Engineer, AVP
Location: Pune, India
Role Description
- Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, ESG Risk Mitigation as well as Corporate Sustainability.
- As Climate Change throws new Challenges and opportunities, Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid Bank’s goals.
- As part of this initiative, we are building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in multiple areas predominantly in Cloud / Hybrid Architecture.
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
- As part of this Role, we are seeking advanced expertise in Python and SQL based Data Engineering.
- Strong Experience in API development using python-based frameworks.
- Strong Experience in building highly scalable and reusable python frameworks.
- Highly experienced in RDBMS (Oracle, Postgres, Big Query) and ETL/ELT concepts.
- Highly experienced in using orchestration tools (Airflow).
- This senior role, you will be a trusted advisor, providing technical expertise and strategic direction across all things in data engineering.
Technical Expertise:
- Must have development experience using Python, SQL.
- Design and optimize complex data pipelines for efficient data ingestion, transformation, and analysis.
- Partner with product management group and other business stakeholders to gather requirements, translate them into technical specifications, and design effective reusable python driven frameworks.
- Design and develop complex data models, leveraging expertise in relational and dimensional modeling techniques.
- Advocate for best practices of Data Engineering.
Collaboration & Mentorship:
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and drive data-driven decision-making.
- Mentor and guide junior team members on Data Engineering technologies.
- Foster a culture of innovation and continuous improvement within the data and BI domain.
Staying Current:
- Track emerging trends and innovations in Data Engineering methodologies.
- Proactively research and recommend new technologies and solutions to enhance our data capabilities.
Your skills and experience
- 10 years of experience in data warehousing, data management, and data engineering.
- Must have ETL/ELT process building using Python and strong Python scripting knowledge.
- Must have experience architecting and building scalable data frameworks.
- Experience designing and implementing complex data pipelines.
- In-depth knowledge of relational and dimensional modeling techniques for BI.
- Experience with PL SQL.
- Strong Experience in API development and Data Extraction from API using python-based frameworks.
- Experience in Data integration concepts.
- Experience with DevOps tools like Git, Jenkins.
- Excellent communication, collaboration, and problem-solving skills.
- Ability to translate technical concepts into clear, actionable insights for business stakeholders.
- Strong leadership presence and ability to influence and inspire others.
- Knowledge of Sustainable Finance / ESG Risk / CSRD / Regulatory Reporting will be a plus
- Knowledge of GCP cloud infrastructure and data governance best practices will be a plus.
- Knowledge of Terraform will be a plus.
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.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow API Development APIs Architecture BigQuery Data governance Data management Data pipelines Data Warehousing DevOps ELT Engineering ETL Excel Finance GCP Git Jenkins Oracle Pipelines PostgreSQL Python RDBMS Research SQL Terraform
Perks/benefits: Career development Flex hours Health care Parental leave
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