10 days ago
Pune, IndiaStaff+
Responsibilities
- Design and implement end-to-end data warehouse, data lake, and lake house solutions in petabyte-scale big data environments.
- Build complex data pipelines using Spark with Scala, Python, or Java on Hadoop or object storage.
- Work with Oracle and Netezza databases and apply strong SQL skills.
- Create user stories with well-defined acceptance criteria and participate in sprint planning and reviews.
- Debug production issues, identify root causes, and implement mitigation plans.
- Communicate effectively with clients and project stakeholders in written and verbal formats.
Requirements
- 9+ years of professional experience.
- At least 5 years of experience working on data warehouse, data lake, or lake house projects.
- Expertise in data engineering and implementing multiple end-to-end data warehouse projects in big data environments.
- Experience building complex Spark pipelines with Scala, Python, or Java on Hadoop or object storage.
- Experience with Oracle, Netezza, and strong SQL knowledge.
- Strong analytical, verbal, and written communication skills.
- Experience building NiFi pipelines is preferred.
Benefits
- Work on transformation projects for major banking, insurance, payment services, and energy organizations.
- Open and inclusive culture emphasizing diversity, creativity, and collaboration.
- Career advancement opportunities without a forced hierarchy.
- Location options include Pune, Bengaluru, Gurugram, Chennai, Hyderabad, and Mumbai.
Tech Stack
Categories
Data Engineering
About Capco
Capco is a global technology and management consultancy focused on financial services, helping banks, capital markets, insurance, and wealth firms with digital transformation, risk and compliance, and data/AI-enabled modernization. Founded in 1998 and headquartered in London, it operates as a Wipro company. Its business model centers on project-based consulting, managed services, and solution delivery across strategy, engineering, and platforms for regulated institutions.