ETL Developer

4 - 7 years

10 - 17 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Level : Associate I - ETL Developer

Exp: 4 to 6 years

Location: Bangalore

Notice Period: 0 - 15 Days

POSITION SUMMARY

Job Description - ETL Developer

Requirements:

    • Design, develop, and optimize

      data integration workflows, ETL/ELT pipelines using IICS, and APIs

      .
    • Work with

      iPaaS and ETL tools

      (Informatica) to integrate enterprise systems.
    • Build pipelines across

      cloud platforms

      (AWS, Azure, GCP) and modern warehouses (Snowflake, Databricks, BigQuery, Redshift).
    • Implement

      data quality, lineage, and governance frameworks

      to ensure reliable data flow.
    • Leverage

      AI/ML models

      for data anomaly detection, pipeline monitoring, and predictive quality checks.
    • Contribute to

      self-healing pipeline design

      by incorporating AI-driven automation.
    • Collaborate with architects, analysts, and business teams to integrate

      structured, semi-structured, and unstructured data sources

      .
    • Document

      integration patterns, best practices, and reusable frameworks

      .
    • 68 years of experience in

      data integration, ETL/ELT design, and data pipelines

      .
    • Strong expertise in

      Informatica, or similar ETL/iPaaS tools

      .
    • Proficiency in

      SQL, Python, and automation scripting

      .
    • Experience with

      cloud data platforms

      (Snowflake, Databricks, BigQuery, etc.).
    • Familiarity with

      data governance practices

      (cataloging, lineage, DQ frameworks).
    • Exposure to

      AI/ML concepts

      applied to data quality and pipeline optimization.
    • Understanding of

      DevOps/CI-CD pipelines

      for data integration deployments.

Preferences:

    • Hands-on experience with

      Kafka, Spark, Airflow, or event-driven architectures

      .
    • Knowledge of

      REST APIs, microservices, and real-time data integration

      .
    • Conceptual understanding or hands-on exposure to

      ML frameworks

      (Scikit-learn, TensorFlow, PyTorch).
    • Experience contributing to

      AI-augmented/self-healing pipelines

      .
    • Bachelors or masters in computer science, Data Engineering, Information Systems, or related field

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