Data Engineer- W2 Role

Position Title: Data Engineer- W2 Role
Location: : Remote

Duration: 12 months
MOI: SKype
Job Description: -

• Data Engineer (Mid Level)

Key Responsibilities

• Design and develop ETL/ELT workflows and data pipelines for batch and real-time processing.
• Build and maintain data pipelines for reporting and downstream applications using open-source frameworks and cloud technologies.
• Implement operational and analytical data stores leveraging Delta Lake and modern database concepts.
• Optimize data structures for performance and scalability across large datasets.
• Collaborate with architects and engineering teams to ensure alignment with target-state architecture.
• Apply best practices for data governance, lineage tracking, and metadata management, including integration with Google Dataplex for centralized governance and data quality enforcement.
• Develop, schedule, and orchestrate complex workflows using Apache Airflow, with strong proficiency in designing and managing Airflow DAGs.
• Troubleshoot and resolve issues in data pipelines and ensure high availability and reliability.

Required Technical Skills

• Strong Understanding of Data: Data structures, modeling, and lifecycle management.
• ETL/ELT Expertise: Hands-on experience designing and managing data pipelines.
• PySpark: Advanced skills in distributed data processing and transformation.
• NetApp Iceberg: Experience implementing open table formats for analytics.
• Hadoop Ecosystem: Knowledge of HDFS, Hive, and related components.
• Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow), Delta Lake, and Dataplex for governance and metadata management.
• Programming & Orchestration: Python, Spark, SQL.
• Workflow Orchestration: Strong experience with Apache Airflow, including authoring and maintaining DAGs for complex workflows.
• Database & Reporting Concepts: Strong understanding of relational and distributed systems.