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Job Description
<p><p><b>Description :</b><br/><br/>- Role : AWS Data Engineer.<br/><br/>- Mode : Permanent, Full Time.<br/><br/>- Location : Hybrid, Gurugram India (2 days onsite/ week).<br/><br/><b>Job Description :</b><br/><br/>- Collaborate and partner with Business Analyst teams located in US and EMEA regions.<br/><br/>- Interface across our Business Analyst and Data Science teams.<br/><br/>- Play a key role in integrating new data sources into our data & analytical ecosystem over AWS cloud.<br/><br/>- Implement data lake solutions while addressing common data concerns, such as data quality, data governance.<br/><br/>- Set the standard for technical excellence as we move / build our data ecosystem into the cloud.<br/><br/>- understanding their common data problems and deliver scalable solutions.<br/><br/><b>Responsibilities and Duties :</b><br/><br/>- 7-10 years of strong development experience performing ETL and/or data pipeline implementations.<br/><br/>- Expert in programming languages, preferably Python.<br/><br/>- Expert in delivering end-to-end analytic solutions using AWS services (EMR, Airflow, S3, Athena, Kinesis, Redshift).<br/><br/>- Experience in batch technologies like Hadoop, Hive, Athena, Presto.<br/><br/>- Strong SQL skills, including query optimization, schema design, complex analytics.<br/><br/>- Expert in data modeling and metadata management like Glue Catalog etc.<br/><br/>- Experience in deployment tools like GitHub actions, Jenkins, AWS Code Pipeline etc.<br/><br/>- Experience in data quality tools like Deque or Great Expectations is Nice To Have.<br/></p><br/></p> (ref:hirist.tech)
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