Position : GCP Data Engineer

Experience : 7+ Years

Job Description :

- Overall, 5 to 8 years of rich data engineering experience

- Participate in Requirements Gathering- work with key business partner groups and other Data Engineering personnel to understand Business unit wise data requirements for the analytics platform.

- Design Data Pipelines: work with other Data Engineering personnel on an overall design for flowing data from various internal and external sources into the Analytics platform.

- Build Data Pipelines from scratch with Python and SQL: leverage standard toolset and develop ETL/ELT code to move data from various internal and external sources into the analytics platform.

- Develop data migration, conversion, cleansing, retrieval tools and processes (ETL).

- Metadata driven data pipelines development experience.

- Minimum Expertise of 3 years on Google Cloud Storage, data fusion, dataflow, pub/sub, Big query, Bigtable, cloud functions, cloud composer, airflow, app engine, cloud data prep, cloud spanner, loud dataproc.

- Building batch & streaming large scale data pipelines in the enterprise data warehousing and data lake environments.

- Well versed with data file formats Avro/parquet/json/orc processing.

- Very good at SQL and advanced SQL.

- Exposure to Looker & Data Studio.

Website : Rounds : 3 Technical Rounds followed by HR Round.

(ref:hirist.com)