- Highly skilled and experienced Senior Data Engineer to lead our data engineering & analytics team.
- The successful candidate will be responsible for designing, implementing, and managing our data infrastructure
- and analytical systems.
- This role requires exceptional technical expertise in data modeling, ETL processes, and database management.
- As the team lead, you will provide guidance and mentorship to other data engineers, ensuring high-quality deliverables and driving the teams success.

Major Responsibilities

- Design, develop, and implement data models, ETL processes, and data pipelines to ensure efficient and accurate data flow using Databricks.
- Lead and manage a team of data engineers, providing technical guidance, mentoring, and support.
- Implementing and enforcing architectural standards and frameworks to ensure a flexible and scalable data environment.
- Collaborating with cross-functional teams to gather requirements, analyze data, and design effective solutions.
- Hands-on development of Python/ Spark-based scripts and applications to support data processing and transformation.
- Utilizing tools such as Databricks Notebooks, Azure Data Factory, and Change Data Capture (CDC) for orchestrating and managing data workflows.




- Optimize and enhance existing data infrastructure and systems for performance, scalability, and reliability.
- Playing a key role in DevOps activities, including deployment of jobs and required infrastructure setup.
- Staying updated with the latest industry trends and technologies in data engineering and analytics.

Knowledge and Education

Degree in computer science or a similar field.

Work Experience

- 7+ Years of experience in the field of Data Engineering & Analytics.
- Strong understanding of Data warehousing, engineering & ETL concepts.
- Experience in Databricks development using Python, PySpark & DLT Pipelines.
- Experience working with databases and various types of data storage.
- Excellent communication and interpersonal skills
- Time and project management skills, with the ability to prioritize and multitask as needed.
- Goal orientation and holistic thinking and action.
- Experience working with Azure / AWS.
- Certifications in relevant data technologies will be an added advantage.

Skills and Competencies

- Team leading skills
- Troubleshooting and analytical skills.
- Positive communication and collaboration skills.
- Client management skills.

📌 Lead Data Engineer (Bengaluru)
🏢 Magna International
📍 Bengaluru