Data Engineer - PySpark / Kafka

Data engineer.

Responsibilities :

- Design and Implement scalable solutions for ever-increasing data volumes, using big data/cloud technologies like Pyspark, Kafka, etc.

- Collaborate with cross-functional teams to understand data requirements and provide effective solutions.

- Implement real-time data ingestion and processing solutions.

- Develop and maintain ETL/ELT processes to support data analytics and reporting.

- Implement best practices for data security, integrity, and quality.

- Optimize and troubleshoot data-related issues for seamless operations.

Requirements :

- Bachelor's in Engineering / Master's degree in Computer Science, Information Systems or related field.

- Minimum of 6-8 years of experience in data engineering.

- Experience with databases and data warehousing concepts (Preferred PostGreSQL, Snowflake).

- Strong SQL skills with experience in writing complex queries.

- Working knowledge of Data warehousing, Data modelling, Governance, and Data Architecture.

- Ability to handle large scale structured and unstructured data from internal and third-party sources.

- Hands On Experience in Python, Pyspark, Kafka.

- Experience with data engineering tools/technologies in GCP Cloud environment.

- Proficiency in designing and maintaining scalable data architectures.

- Experience with CICD Tools like GitHub.

Location- Delhi NCR, Bangalore, Chennai, Pune, Kolkata, Ahmedabad, Mumbai, Hyderabad