Data Engineer

TechDigital Group

Key Skills & Technologies Programming Languages: Python (primary), SQL Cloud Platforms: AWS (S3, Glue, Lambda, Redshift, EC2, EMR) Data Tools: Apache Spark, Pandas, PySpark, Airflow Databases: PostgreSQL, MySQL, NoSQL (e.g., DynamoDB) ETL & Workflow Orchestration: AWS Glue, Apache Airflow Version Control: Git DevOps & CI/CD: Basic understanding of CI/CD pipelines and infrastructure as code (e.g., Terraform, CloudFormation) Job Summary Data Pipeline Development - Design, build, and maintain scalable and reliable data pipelines to ingest, process, and transform data from various sources. Data Integration & Management - Integrate structured and unstructured data from internal and external systems. Ensure data quality, consistency, and availability across platforms. Cloud-Based Data Engineering - Leverage AWS services (e.g., S3, Lambda, Glue, Redshift, EMR) to build cloud-native data solutions. Optimize cloud resources for performance and cost-efficiency. Programming & Automation - Use Python for data manipulation, ETL workflows, and automation of data tasks. Develop reusable scripts and modules for data processing. Collaboration & Stakeholder Engagement - Work closely with data scientists, analysts, and business teams to understand data needs. Translate business requirements into technical solutions. Monitoring & Optimization - Monitor data pipelines and troubleshoot issues proactively. Continuously improve performance, scalability, and reliability of data systems. #J-18808-Ljbffr

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Vacancy posted 2 days ago

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