1. The developer must have sound knowledge in Apache Spark and Python programming.

2. Hands-on experience in RDBMS.

3. Working with data extraction using sqoop and Ni-Fi for database batch extracts or Kafka for real time extracts.

4. Solid skills in SQL for data transformation.

5. Hands on experience with Snowflake for data marts

6. Deep experience in developing data processing tasks using pySpark such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations.

7. Experience in deployment and operationalizing the code.

8. Experience on Aws is good to have.

9. Working knowledge of Docker & Kubernetes is added advantage

Responsibilities

1. Write effective, scalable code

2. Integrate user-facing elements into applications

3. Test and debug programs
4. Improve functionality of existing systems

5. Implement security and data protection solutions

6. Assess and prioritize feature requests

7. Coordinate with internal teams to understand user requirements and provide technical solutions

📌 Big Data - Spark (Mumbai)
🏢 Acme Services
📍 Mumbai