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Urgent! AWS Data Developer - Python/ETL - Local Job Opening in Kolkata

AWS Data Developer Python/ETL



Job description

<p><p><b>Description :</b><br/><br/><b>Job Title :</b> AWS Data Developer<br/><br/><b>Location :</b> Bangalore / Kolkata<br/><br/><b>Job Summary :</b><br/><br/>We are seeking a skilled AWS Data Integration Developer with expertise in AWS data services, data pipelines, and data processing technologies.<br/><br/>The candidate will be responsible for designing, developing, and testing data pipelines, performing data analysis, and ensuring the quality and reliability of integrated data solutions.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and maintain AWS-based data pipelines using services such as Glue, Athena, Redshift.<br/><br/>- Perform data analysis, extraction, transformation, and loading (ETL) activities.<br/><br/>- Develop and optimize Spark and Python scripts for data processing and transformation.<br/><br/>- Implement functional and automated testing for data pipelines to ensure data accuracy and reliability.<br/><br/>- Collaborate with stakeholders to understand data requirements and business use cases.<br/><br/>- Monitor and troubleshoot data integration and processing workflows.<br/><br/>- Maintain technical documentation and best practices for AWS data integration.<br/><br/><b>Required Skills And Qualifications :</b><br/><br/>- Strong hands-on experience with AWS data integration services : Glue, Athena, Redshift.<br/><br/>- Proficiency in SQL, Spark, and Python for data processing and pipeline development.<br/><br/>- Experience in data analysis, validation, and testing of data pipelines.<br/><br/>- Understanding of data modeling, data warehousing, and ETL concepts.<br/><br/>- Excellent problem-solving, analytical, and communication skills.<br/><br/>- Ability to work independently and in collaboration with cross-functional teams.<br/><br/><b>Preferred Skills / Good To Have :</b><br/><br/>- Experience with automated testing frameworks for data pipelines.<br/><br/>- Knowledge of cloud-native data processing architectures.<br/><br/>- Familiarity with industrial or manufacturing domain datasets.<br/><br/></p><br/></p> (ref:hirist.tech)


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