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Senior Data Engineer

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Remote

Senior Data Engineer

Immersive Infotech Pvt Ltd

Senior Data Engineer

Skills

Google Cloud PlatformSQL QueriesDockerData MiningPythonPostgreSQLMySQLKafkaAmazon RedshiftDatabricksAWSKubernetesPySparkApache AirflowAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Remote

Published on:

24 September 2026

What they need


Job Summary

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data processing systems. The ideal candidate should have strong experience in Python, SQL, ETL/ELT, data warehousing, and cloud technologies, with the ability to work with large and complex datasets.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines.
  • Build and optimize data pipelines for structured and unstructured data.
  • Develop efficient and complex SQL queries for data extraction and transformation.
  • Work with data warehouses, data lakes, and relational/non-relational databases.
  • Perform data cleaning, validation, transformation, and quality checks.
  • Optimize data pipelines and database performance.
  • Collaborate with Data Scientists, Business Analysts, Software Engineers, and other stakeholders.
  • Implement data integration solutions from multiple sources.
  • Monitor data pipelines and troubleshoot data processing issues.
  • Ensure data security, reliability, and availability.
  • Document data pipelines, workflows, and technical processes.

Required Skills

  • Strong programming experience in Python.
  • Strong knowledge of SQL and database concepts.
  • Hands-on experience with ETL/ELT processes and data pipelines.
  • Experience with Apache Spark / PySpark.
  • Experience with relational databases such as MySQL/PostgreSQL.
  • Knowledge of Data Warehousing concepts.
  • Experience with cloud platforms such as AWS / Azure / GCP.
  • Familiarity with Airflow or other workflow orchestration tools.
  • Understanding of data modeling, performance optimization, and data quality.
  • Good problem-solving and analytical skills.

Good to Have

  • Experience with Kafka or other streaming technologies.
  • Experience with Databricks.
  • Knowledge of AWS Glue, S3, Redshift or equivalent cloud data services.
  • Experience with CI/CD and Git.
  • Exposure to Docker/Kubernetes.
  • Experience working with real-time data pipelines.

Pay: From ₹100,000.00 per year

Benefits:

  • Flexible schedule
  • Provident Fund

Work Location: Remote

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