Sr. Data Engineer - Contract position

8 - 13 years

12 - 19 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Relevant and Total years of experience

Relevant 8+ years

Job Summary:

Apache NiFi

Key Responsibilities:

  • Design, develop, and maintain robust ETL pipelines using Apache NiFi, KNIME, and other tools.
  • Integrate data from various sources including APIs, databases, flat files, and cloud storage.
  • Optimize data workflows for performance, scalability, and reliability.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
  • Monitor and troubleshoot data pipeline issues and ensure data quality and consistency.
  • Implement data governance, lineage, and documentation practices.
  • Work with cloud platforms (AWS, Azure, or GCP) for data storage and processing.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • 5 years of experience in data engineering or a similar role.
  • Strong hands-on experience with

    Apache NiFi

    and

    KNIME

    for data integration and transformation.
  • Proficiency in SQL and scripting languages like Python or Shell.
  • Experience with relational and NoSQL databases (e.g., PostgreSQL, MongoDB).
  • Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
  • Understanding of data modeling, data quality, and data governance principles.

Preferred:

  • Experience with workflow orchestration tools like Apache Airflow or Luigi.
  • Exposure to CI/CD practices and version control (e.g., Git).
  • Knowledge of real-time data processing frameworks (e.g., Kafka, Spark Streaming).|

Mandatory Skills

ETL pipelines using Apache NiFi, KNIME , ETL , DWH , Python , SQL

Work with cloud platforms (AWS/ Azure/ GCP/Snowflake ) for data storage and processing.

Work Location

Bangalore/Hyderabad (Mandatory to go to client location/office 5 days/week)

Notice period

20-30 days, not more than that.

WFO/WFH/Hybrid WFO

WFO

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