Data Engineer

5 days ago

Pune, Maharashtra, India Information Technology Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description
About the Role :
We are seeking a highly skilled Data Engineer with expertise in Python, Apache (Spark/Hadoop), and Airflow to design, develop, and optimize data pipelines that power analytics and business insights.

The ideal candidate should have a strong background in data architecture, ETL development, and workflow orchestration, along with hands-on experience managing large-scale data systems.

Key Responsibilities

  • Design, build, and maintain scalable ETL pipelines and data architectures.
  • Develop efficient data processing workflows using Apache Spark/Hadoop and Airflow.
  • Collaborate with data scientists, analysts, and software engineers to define data requirements and integration strategies.
  • Ensure data reliability, accuracy, and security across multiple sources and systems.
  • Optimize workflows for performance, scalability, and cost-efficiency.
  • Implement monitoring and alerting for data quality and pipeline performance.
  • Work with cloud platforms (AWS, Azure, GCP) for data storage, processing, and orchestration.

Required Skills & Qualifications

  • Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
  • 6+ years of experience in data engineering or ETL development.
  • Strong programming skills in Python.
  • Hands-on experience with Apache Spark, Hadoop, or similar big data frameworks.
  • Expertise in Airflow or equivalent orchestration tools.
  • Strong SQL and data modeling proficiency.
  • Familiarity with cloud data services (AWS Glue, Redshift, Azure Data Factory, GCP BigQuery, etc.).
  • Experience with Git, CI/CD pipelines, and data versioning tools.

Preferred Qualifications

  • Experience with containerization (Docker, Kubernetes).
  • Knowledge of data lake and data warehouse architectures.
  • Exposure to real-time data processing tools (Kafka, Flink, etc.).
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and collaboration abilities.

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