Mumbai, Maharashtra, India
Information Technology
Full-Time
Deutsche Bank
Overview
Position Overview
Job Title: Data Engineer
Corporate Title: AVP
Location: Pune India
Role Description
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,
Technical Skills:
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.
Job Title: Data Engineer
Corporate Title: AVP
Location: Pune India
Role Description
- As a Data Engineer, you will work closely with Data Lake Lead Engineer, Data Lake Solution architect and engineering team to design, maintain, and develop innovative solution within scalable GCP cloud environment.
- As a Data Engineer design, build, and maintain a CSO Data Lake's data infrastructure, ensuring accurate and timely data is accessible for analysis and applications, often working closely with Architect and business analysts. You are highly technical, understands cloud technologies, and understands the complex world of cloud eco-systems and integrations.
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
- Cloud Data Infrastructure Development:
- Design, build, and maintain data storage systems.
- Develop and implement efficient data pipelines for data ingestion, transformation, and loading.
- Ensure data is clean, consistent, and accessible for various users and applications.
- Collaborate with architecture teams to implement cloud-based solutions aligned with business objectives.
- Data Quality and Reliability:
- Implement methods to improve data reliability and quality.
- Combine raw data from different sources into consistent and machine-readable formats.
- Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.
- Develop and maintain automation scripts for various environments, ensuring smooth and efficient deployment processes.
- Use Python and other scripting languages to automate workflows, integrate APIs, and manage infrastructure as code (IaC).
- Collaboration and Communication:
- Work closely with data scientists, business analysts, and other stakeholders to understand their data needs.
- Communicate technical information clearly and effectively to both technical and non-technical audiences.
- Data Management and Optimization:
- Manage and optimize data storage, retrieval, and processing.
- Monitor data pipelines and systems for performance and identify areas for improvement.
- Develop and implement solutions to address data quality issues and performance bottlenecks.
- Contribute to change management processes in live environments, ensuring minimal disruption to service and also complying with the Bank’s Compliance.
- Automate routine tasks such as deployments, scaling, and monitoring to improve operational efficiency.
- Review and provide feedback on the consumption of resources and ensure they are within agreed budgets and participate in on-call rotations to provide timely response and resolution to critical incidents.
- Take ownership of deliverables, troubleshoot, and resolve issues. Establish product support procedures, service as final L3 engineering escalation.
Technical Skills:
- Proficiency in programming languages like Python, SQL, or Scala.
- Experience with database technologies (e.g., relational databases, NoSQL databases).
- Knowledge of data warehousing and data lake technologies.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Experience with data pipelines and ETL (Extract, Transform, Load) tools
- In-depth understanding of GCP services and capabilities, including virtual machines, storage, networking, security, and monitoring.
- Strong expertise in infrastructure as code (IaC) and automation using tools such as Terraform, CloudFormation, or similar.
- Familiarity with DevOps practices and tools, such as GitLab, DevOps, or Jenkins.
- Knowledge of various Security technologies. Strong knowledge in current security threats and corresponding technologies.
- Experience with business tools including Jira, Confluence, Share point, and Microsoft 365
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- A bachelor's degree in computer science, information technology, or a related field is typically required.
- Experience with data engineering certifications like IBM Certified Data Engineer or Google's Certified Professional is a plus.
- 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.
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.
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