Roles and Responsibilities :

- Lead the development of data engineering projects using AWS, Azure, Snowflake, and other technologies.
- Collaborate with cross-functional teams to design and implement scalable data pipelines using Python, PySpark, SQL, and Kafka.
- Ensure high-quality delivery of projects by mentoring junior engineers and providing technical guidance.
- Develop technical roadmaps for future projects based on business requirements.

Job Requirements :

- 6-10 years of experience in Data Engineering with expertise in AWS/Azure/Snowflake.
- Solid proficiency in programming languages such as Python and SQL.
- Experience working with big data technologies like Hadoop (HDFS), Spark (PySpark), Kafka.

Role: Data Science & Analytics - Other, Industry Type: Miscellaneous, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Graduation Not Required read more

Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkSnowflakeKafkaMicrosoft AzureData BricksPythonSQL AWS

📌 Data Engineer - Project Lead (Bengaluru)
🏢 Tata Elxsi
📍 Bengaluru