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Cloud-Based Data Processing Specialist

1 week ago

Pune, Maharashtra, India Benchmark IT Solutions Full time

Benchmark IT Solutions

As a Data Engineering Team Lead, you will be responsible for designing, developing, and optimizing data pipelines, storage solutions, and processing frameworks. The ideal candidate will have expertise in ETL workflows, big data processing, cloud platforms, and API integrations to ensure efficient data handling and high-performance analytics.

This role requires a strong foundation in data architecture, security, and performance optimization, supporting business intelligence, machine learning, and operational data needs. Key Responsibilities:

  • Lead a team of data engineers to design and develop scalable data pipelines using Apache NiFi, Apache Airflow, and PySpark.
  • Work with Apache Hudi for incremental and real-time data processing within a data lake.
  • Implement batch and real-time data processing solutions using Apache Flink and Apache Spark.
  • Optimize data querying and federation using Trino (Presto) and PostgreSQL.
  • Ensure data security, governance, and access control using RBAC and cloud-native security best practices.
  • Automate and monitor data pipeline performance, latency, and failures.
  • Collaborate with data scientists, AI/ML engineers, and backend teams to optimize data availability and insights.
  • Implement observability and monitoring using Prometheus, OpenTelemetry, or similar tools.
  • Support cloud-based data lake solutions (AWS, GCP, or Azure) with best practices for storage, partitioning, and indexing.