Posted:22 hours ago|
Platform:
Work from Office
Full Time
Experience: 5+ 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.
Motivity Labs
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