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Senior Data Engineer

5-9 Years
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  • Posted 8 days ago
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Job Description

Key Responsibilities

  • Design and develop high-performance, scalable data pipelines using PySpark, SQL, and cloud platforms.
  • Optimize distributed data processing for improved efficiency and reliability.
  • Implement best practices in data modeling, architecture, and governance.
  • Ensure data integrity, security, and compliance within cloud environments.
  • Automate data workflows, monitor pipeline performance, and troubleshoot issues proactively.
  • Provide technical leadership and mentorship to junior engineers, conduct code reviews, and establish best practices.

Required Skills & Experience

  • 4+ years of hands-on experience in Data Engineering with expertise in Python, PySpark,Spark, SQL, and Cloud platforms.
  • Strong proficiency in Snowflake, Databricks, or Microsoft Fabric.
  • Solid experience in data architecture, modeling, and pipeline optimization.
  • Hands-on experience with workflow orchestration tools (e.g., Airflow, DBT).
  • Proven ability to mentor and lead junior engineers while driving best practices in data engineering.

More Info

About Company

Anblicks guides its clients in customizing their data foundation, deploying an insight-driven platform, and provides continuous support with its innovative services. This empowers clients to fully leverage their data assets, securing their future capabilities. The framework promotes data democratization and governance, driving growth and enhancing competitive edges through strategic use of data and AI.

Job ID: 114007079

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