PwC - AWS Data Engineer - ETL (6-9 yrs)

Job Description :

- Developing ETL pipelines involving big data.

- Developing data processing\analytics applications primarily using PySpark.

- Experience of developing applications on cloud(AWS) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming.

- Clear understanding and ability to implement distributed storage, processing and scalable applications.

- Experience of working with SQL and NoSQL database.

- Ability to write and analyze SQL, HQL and other query languages for NoSQL databases.

- Proficiency is writing distributed & scalable data processing code using PySpark, Python and related libraries.

- Experience with data warehousing technologies such as Amazon Redshift, Snowflake, or equivalent.

- Strong understanding of ETL/ELT processes and tools (e.g., AWS Glue, Talend, Informatica).

- Expertise in working with large datasets and distributed systems.

- Familiarity with streaming data frameworks (e.g., Apache Kafka, Kinesis).