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Senior ETL Developer - SQL / Informatica

Senior ETL Developer - SQL / Informatica

Recruitment Hub 365Delhi, IN
30+ days ago
Job type
  • Remote
Job description

Job Title : Senior ETL Developer Scalable Data Pipelines & High-Performance Systems

Location : Gurugram

Experience : 3+ years

Department : Data Engineering / Analytics

Role Overview :

We are seeking an experienced Senior ETL Developer to design, build, and optimize large-scale data pipelines in high-performance environments. The role requires deep expertise in PostgreSQL, hands-on experience with ETL tools, and the ability to manage highly complex, parallel data workflows (e.g., environments with 5000+ processors).

Key Responsibilities :

  • Design, develop, and maintain scalable ETL pipelines for complex and large datasets.
  • Optimize and troubleshoot SQL / PLpgSQL queries in PostgreSQL, ensuring stability in high-concurrency systems.
  • Manage and scale data ingestion across multiple sources, ensuring accuracy, integrity, and availability.
  • Monitor workflows, resolve bottlenecks, and implement performance tuning strategies.
  • Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.
  • Ensure compliance with data governance, quality standards, and security / privacy requirements.
  • Maintain documentation for data models, processes, and system architecture.

Required Skills & Experience :

  • 3+ years of ETL development experience with complex, large-scale data workflows.
  • Strong expertise in PostgreSQL (including performance optimization at scale).
  • Proven ability to manage data processing in massively parallel environments (e.g., 5000+ processor setups).
  • Proficiency in SQL, PL / pgSQL, and database performance tuning.
  • Hands-on experience with ETL tools (e.g., Talend, Apache NiFi, Informatica, Airflow).
  • Good understanding of data modeling, warehousing, and data governance.
  • Strong analytical and problem-solving skills with attention to detail.
  • Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus.
  • Preferred Qualifications :

  • Experience working on cloud platforms (AWS, Azure, or GCP).
  • Knowledge of DevOps / CI-CD practices for data engineering.
  • Exposure to real-time / streaming data systems.
  • Proficiency in scripting languages (Python, Bash, etc.).
  • Education : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

    (ref : hirist.tech)

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