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Responsibilities
Key ResponsibilitiesDesign and implement scalable data pipelines using AWS Glue, Redshift, S3, Lambda, EMR & AthenaDevelop and maintain ELT processes for data transformation and integrationOptimize data pipeline and query performanceEnsure data quality, integrity, security & complianceMonitor and troubleshoot data pipeline issuesCollaborate with data scientists, analysts & stakeholdersStay current with AWS data engineering technologies and best practicesRequired Skills:5+ years of Data Engineering experience with AWSStrong expertise in AWS Glue, Redshift, S3, Lambda, EMR & AthenaStrong programming skills in Python, Pandas & SQLExperience with AWS RDS, PostgreSQL & SAP HANAStrong knowledge of Data Modeling, ETL & Data WarehousingExperience with CI/CD & GitInfrastructure as Code using TerraformExperience with Glue Notebooks, SageMaker Notebooks, Textract, Rekognition & BedrockFamiliarity with GenAI/LLM toolsExcellent problem-solving, communication & collaboration skillsNice to Have:AWS CertificationsMachine Learning — TensorFlow, PyTorch, Scikit-learnSageMaker, Spark, Hadoop & KafkaTableau, Power BI or AWS QuickSightAzure DevOps & Azure PipelinesData Governance tools — AWS DQ, Collibra, AWS DataBrew📩 Kindly share your resume to Prava@tekcog.com
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