Key ResponsibilitiesDesign, build, and maintain ETL / ELT data pipelinesDevelop Python-based data processing applicationsWork with structured and unstructured data at scaleIntegrate data from multiple sources (APIs, databases, files, streams)Optimize data workflows for performance and reliabilityEnsure data quality, validation, and monitoringCollaborate with data scientists, analysts, and backend teamsManage and maintain data warehouses / lakesImplement logging, error handling, and automationFollow best practices for security and complianceRequired SkillsProgrammingStrong Python (Pandas, NumPy, PySpark)Writing clean, modular, and testable codeDatabases & StorageSQL (PostgreSQL, MySQL, SQL Server)NoSQL (MongoDB, Cassandra optional)Data Warehouses (Snowflake, Redshift, BigQuery)Big Data & ProcessingApache Spark, Hadoop (preferred)Batch and streaming data processingCloud PlatformsAWS / Azure / GCPS3, Lambda, Glue, Dataflow, BigQuery, etc.Data Engineering ToolsAirflow, Prefect, Luigi (orchestration)Kafka / PubSub (streaming optional)DBT (data transformation)DevOps & OtherGit, CI / CDDocker, Kubernetes (nice to have)Linux basics.
Data Engineer / Python Developer / Remote • New Milford, NJ, United States
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