ETL Developer

4 - 8 years

12 - 17 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Work from Office

Job Type

Full Time

Job Description

The Opportunity

Data Integration Engineer

About the Team

At Nutanix, the Data Science team is a dynamic and diverse group of 50 talented professionals spread across our offices in India (Bangalore and Pune) and San Jose. We pride ourselves on fostering a collaborative and supportive environment where innovation thrives. Our team is deeply committed to leveraging data in a results-oriented manner, ensuring our solutions remain customer-centric. We believe in transparency and trust, which allows for open communication and a fluid exchange of ideas. Being agile and adaptable, we embrace diverse perspectives to drive creativity and efficient problem-solving.

Your Role

  • Design, develop, and optimize

    data integration workflows, ETL/ELT pipelines, 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

    .

What You Will Bring

  • 6 8 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.

Nice-to-Have

  • 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

    .

    Education

  • Bachelor s or Master s in Computer Science, Data Engineering, Information Systems, or related field

Work Arrangement

Hybrid: This role operates in a hybrid capacity, blending the benefits of remote work with the advantages of in-person collaboration. For most roles, that will mean coming into an office a minimum of 3 days per week, however certain roles and/or teams may require more frequent in-office presence. Additional team-specific guidance and norms will be provided by your manager.

--


Nutanix is an Equal Employment Opportunity and (in the U. S. ) an Affirmative Action employer. Qualified applicants are considered for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, protected veteran status, disability status or any other category protected by applicable law. We hire and promote individuals solely on the basis of qualifications for the job to be filled. We strive to foster an inclusive working environment that enables all our Nutants to be themselves and to do great work in a safe and welcoming environment, free of unlawful discrimination, intimidation or harassment. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If you need a reasonable accommodation, please let us know by contacting [email protected] .

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Nutanix

Software Development

San Jose California

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