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Senior Data Engineer

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Onsite

Senior Data Engineer

NewVision Software

Senior Data Engineer

Skills

SQL QueriesBig DataTableauPythonData VisualizationKafkaDatabricksPySparkApache AirflowHadoopPower BIAzure

20 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Senior Data Engineer with 5 + years of experience

Mandatory Skills:

-Extensive experience in developing ETL pipelines,

  • Databricks

-scheduling using Azure Data Factory (ADF) and/or Apache Airflow,

  • performance tuning using SQL.

  • SQL, Python, Spark, PySpark, and Azure.

  • Fabric experience preferred.

Key Responsibilities:

  • ETL Pipeline Development:
  • Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into Azure data platforms.
  • Optimize ETL processes for performance and scalability.
  • Implement data quality and validation checks within ETL processes.
  • Scheduling and Orchestration:
  • Develop and manage data integration workflows using Azure Data Factory (ADF) and/or Apache Airflow.
  • Schedule and monitor ETL jobs to ensure timely data processing and availability.
  • Performance Tuning:
  • Optimize SQL queries and data processing tasks for performance.
  • Utilize notebooks for development and performance tuning of ETL processes.
  • Data Integration and Management:
  • Develop and maintain data models and schemas.
  • Ensure data integrity, consistency, and security across data platforms.
  • Collaborate with data engineers, solution architects, and other stakeholders to understand business requirements and translate them into technical solutions.

Qualifications:

  • Bachelor’s degree in computer science, Information Technology, or a related field.
  • 5-6 years of experience as a Data Engineer in developing ETL pipelines and scheduling using ADF and/or Apache Airflow.
  • Strong technical skills in SQL, Python, Spark, PySpark, and Azure.
  • Proven experience in performance tuning and optimization of SQL and ETL processes.
  • Strong understanding of Data Architecture and Data Modeling.
  • Experience in healthcare and pharmaceutical industries is preferred.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

Preferred Skills:

  • Knowledge of big data technologies (Hadoop, Hive, Kafka).
  • Familiarity with data visualization tools (Power BI, Tableau).
  • Microsoft Fabric experience.

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