Job Description
Summary
EY India is hiring a Senior Data Engineer (Manager) in EY GDS – Data & Analytics, Kolkata. This role is ideal for professionals with strong expertise in Databricks, Python, ETL development, and data engineering best practices. As a Senior Data Engineer at EY, you will design and optimize scalable data pipelines, manage structured and unstructured data, and deliver actionable insights that drive business outcomes. Join EY to advance your career in big data, cloud platforms, and enterprise data architecture, while contributing to innovative analytics projects in a global consulting environment.
Job Details at a Glance
| Job Title | Senior Data Engineer – Manager |
|---|---|
| Location | Kolkata, West Bengal, India |
| Experience | 8-10 years in Data Engineering, ETL, Databricks & Python |
| Qualification | Bachelor’s in Computer Science, IT, or related field |
| Shift | Primary Location Only |
| Tools & Skills | Databricks, Python, SQL, NoSQL, ETL, Data Pipelines, Cloud Platforms (AWS, Azure), Big Data |
| Salary | Competitive |
| Requisition ID | 1646023 |
Key Responsibilities
Data Pipeline Development & ETL
- Design, build, and maintain efficient, scalable data pipelines using Databricks and Python.
- Develop ETL processes to transform data from multiple sources into structured, actionable datasets.
- Monitor ETL workflows and perform root cause analysis to optimize performance and reliability.
Data Quality & Governance
- Ensure data integrity and quality by implementing best practices and standards.
- Document data engineering processes, including pipeline design and data architecture.
- Collaborate with cross-functional teams to gather requirements and deliver robust data engineering solutions.
Technical Expertise & Innovation
- Write and optimize Python scripts for ETL and data manipulation.
- Apply knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms (AWS, Azure).
- Stay up to date with industry trends and emerging technologies in data engineering and analytics.
Skills & Attributes
- Strong problem-solving and analytical skills with attention to detail.
- Proven ability to work independently and in collaborative, cross-functional teams.
- Excellent communication, documentation, and interpersonal skills.
- Ability to manage multiple projects in a fast-paced consulting environment.
Qualifications
- Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
- Experience: 8-10 years of data engineering experience, with expertise in Databricks, Python, and ETL implementation.
- Strong experience with SQL, NoSQL, cloud platforms, and big data technologies.
- Knowledge of data engineering libraries, frameworks, and best practices.
What EY Offers
- Work with innovative data analytics projects and global clients.
- Exposure to cutting-edge technologies, cloud platforms, and enterprise data solutions.
- Opportunities for career development, skill enhancement, and global learning resources.
- Be part of a collaborative, inclusive, and growth-focused environment.
Apply Now
Advance your career as a Senior Data Engineer at EY GDS Kolkata and contribute to high-impact data and analytics initiatives.