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<div>GCP Data Engineer (CDF)</div><div>&nbsp;</div><div>Experience : 3 - 8 years</div><div>Timings - IST</div><div>Rate: 1.25k</div><div><br></div><div>Primary Skills : Python, SQL, GCP, CDF, CDAP</div><div>Secondary Skills: GCP (BigQuery/ Dataproc) / other Cloud DW/ETL - IICS, AWS Glue, AZURE Synapse, Snowflake, Talend</div><div>&nbsp;</div><div>Required Experience</div><div>● Must be able to code in Python and SQL on Big Data platforms</div><div>● Must have vast experience of implementing DWH/ETL solutions involving multiple data</div><div>sources (SAP specifically) and complex transformations for large enterprise customers, preferably Fortune 1000</div><div>● Must have 3+ years of experience developing and deploying data pipelines on Cloud native ETL tools eg. CDAP, IIICS, AWS Glue, Azure Synapse, Snowflakes, GCP Composer, etc.</div><div>● Must have prior experience of migrating on-premises workloads to GCP CDF or other cloud native services</div><div>● Must be proficient in troubleshooting and performance tuning of GCP Services</div><div>● Must have executed projects using Agile Scrum methodology and aware of all processes</div><div>involved in Scrum</div><div>● Good to have experience with cloud deployment of pipelines and orchestration tools</div><div>(Airflow, Composer).</div><div>● Good to have- Hands on experience/ working knowledge of JDBT, Rest API, Hive, Java</div><div>● Should have experience with design of data models which serve multiple applications</div><div>underlying the same model (common schemas across multiple scenarios).</div><div>● Should have extensive knowledge of large-scale data processing concepts and</div><div>technologies.</div>