Manager

2 weeks ago


Gurgaon, Haryana, India EXL Service Full time ₹ 15,00,000 - ₹ 20,00,000 per year
Job Description:Job Summary:Key Responsibilities:
  • Design, develop, and optimize scalable data pipelines using AWS services (e.g., S3, Glue, Redshift, Lambda).
  • Build and maintain ETL/ELT workflows leveraging Databricks and Apache Spark for processing large datasets.
  • Work extensively with Azure data services such as Azure Data Lake, Azure Synapse, Azure Data Factory, and Azure Databricks.
  • Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.
  • Ensure data quality, reliability, and security across multiple cloud platforms.
  • Monitor and troubleshoot data pipelines, implement performance tuning, and optimize resource usage.
  • Implement best practices for data governance, metadata management, and documentation.
  • Stay current with emerging cloud data technologies and industry trends to recommend improvements.
Required Qualifications:
  • 5+ years of experience in data engineering with strong expertise in AWS, Databricks, and Azure cloud platforms.
  • Hands-on experience with big data processing frameworks, particularly Apache Spark.
  • Proficient in building complex ETL/ELT pipelines and managing data workflows.
  • Strong programming skills in Python, Scala, or Java.
  • Experience working with structured and unstructured data in cloud storage solutions.
  • Knowledge of SQL and experience with relational and NoSQL databases.
  • Familiarity with CI/CD pipelines and DevOps practices in cloud environments.
  • Strong analytical and problem-solving skills with an ability to work independently and in teams.
Preferred Skills:
  • Experience with containerization and orchestration tools (Docker, Kubernetes).
  • Familiarity with machine learning pipelines and tools.
  • Knowledge of data modeling, data warehousing, and analytics architecture.

EXL Service



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