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