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2 weeks ago

Bengaluru India Aeva Full time

Job Description Role Overview We are looking for a Senior Data Engineer who will play a key role in designing, building, and maintaining data ingestion frameworks and scalable data pipelines. The ideal candidate should have strong expertise in platform architecture, data modeling, and cloud-based data solutions to support real-time and batch processing needs. What you'll be doing: - Design, develop, and optimiseDBT modelsto support scalable data transformations - Architect and implementmodern ELT pipelinesusingDBTand orchestration tools likeApache Airflow and Prefect - Leadperformance tuning and query optimizationfor DBT models running onSnowflake, Redshift, or Databricks - IntegrateDBT workflows & pipelineswithAWS services(S3, Lambda, Step Functions, RDS, Glue) and event-driven architectures - Implement robust data ingestion processes from multiple sources, including manufacturing execution systems (MES), Manufacturing stations, and web applications - Manage and monitororchestration tools(Airflow, Prefect) for automated DBT model execution - ImplementCI/CD best practicesfor DBT, ensuringversion control, automated testing, and deployment workflows - Troubleshootdata pipeline issuesand provide solutions for optimizingcost and performance What you'll have: - 5+ years of hands-on experience with DBT, includingmodel design, testing, and performance tuning - 5+ years of Strong SQL expertise with experience inanalytical query optimizationanddatabase performance tuning - 5+ years of programming experience, especially inbuilding custom DBT macros, scripts, APIs, working with AWS services using boto3 - 3+ years of Experience withorchestration toolslikeApache Airflow, Prefectfor scheduling DBT jobs - Hands-on experience inmodern cloud data platformslikeSnowflake, Redshift, Databricks, or Big Query - Experience withAWS data services(S3, Lambda, Step Functions, RDS, SQS, CloudWatch) - Familiarity with serverless architectures and infrastructure as code (CloudFormation/Terraform) - Ability to effectively communicate timelines and deliver MVPs set for the sprint - Strong analytical and problem-solving skills, with the ability to work across cross-functional teams Nice to haves: - Experience in hardware manufacturing data processing - Contributions to open-source data engineering tools - Knowledge of Tableau or other BI tools for data visualization - Understanding of front-end development (React, JavaScript, or similar) to collaborate effectively with UI teams or build internal tools for data visualization

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