ETL Developer

Blue Spire Inc

Hyderabad

On-site

INR 900,000 - 1,500,000

Full time

6 days ago
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Job summary

Blue Spire Inc in Hyderabad is seeking an experienced ETL Developer to design, develop, and maintain scalable data pipelines for enterprise data integration. You will collaborate with business, AI, and application teams to build reliable, high-performance data solutions while ensuring data quality, governance, and compliance.

The role emphasizes hands-on development with Informatica, Talend, DataStage, Python, and Spark, and requires strong SQL skills.

Qualifications

  • Strong hands-on experience with ETL and Data Integration.
  • Experience with ETL tools such as Informatica, Talend, DataStage, or cloud-native data integration services.
  • Proficiency in Python.
  • Strong experience with Apache Spark / PySpark for large-scale data processing.
  • Good understanding of SQL and database technologies.
  • Experience working with REST APIs, JSON, and XML.
  • Experience with file-based integrations and messaging platforms.
  • Strong understanding of data quality, validation, governance, and compliance.
  • Experience with CI/CD and DevOps practices.
  • Strong understanding of data pipeline performance, scalability, and reliability.
  • Good analytical and problem-solving skills.

Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for enterprise data integration.
  • Extract, transform, validate, and load data from multiple source systems.
  • Ensure data quality, integrity, governance, and compliance across data workflows.
  • Collaborate with business, AI, and application teams to deliver effective data solutions.
  • Optimize data pipelines for performance, scalability, reliability, and operational efficiency.
  • Contribute to automation, CI/CD, and DevOps practices for data engineering deliverables.
  • Develop and maintain data integration workflows using enterprise ETL and cloud-native tools.
  • Troubleshoot data pipeline issues and ensure timely resolution of production problems.
  • Support large-scale data processing and integration requirements.

Skills

ETL & Data Integration
Python
Apache Spark
SQL
REST APIs
CI/CD
Data Quality
Governance
Performance & Scalability
Analytical Skills

Tools

Informatica
Talend
DataStage

Job description

We are looking for an experienced ETL Developer to design, develop, and maintain scalable data pipelines for enterprise data integration. The candidate will work closely with business, AI, and application teams to build reliable, high-performance data solutions while ensuring data quality, governance, and compliance.

Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for enterprise data integration.
  • Extract, transform, validate, and load data from multiple source systems.
  • Ensure data quality, integrity, governance, and compliance across data workflows.
  • Collaborate with business, AI, and application teams to deliver effective data solutions.
  • Optimize data pipelines for performance, scalability, reliability, and operational efficiency.
  • Contribute to automation, CI/CD, and DevOps practices for data engineering deliverables.
  • Develop and maintain data integration workflows using enterprise ETL and cloud-native tools.
  • Troubleshoot data pipeline issues and ensure timely resolution of production problems.
  • Support large-scale data processing and integration requirements.

Required Skills

  • Strong hands‑on experience with ETL and Data Integration.
  • Experience with ETL tools such as Informatica, Talend, DataStage, or cloud-native data integration services.
  • Proficiency in Python.
  • Strong experience with Apache Spark / PySpark for large-scale data processing.
  • Good understanding of SQL and database technologies.
  • Experience working with REST APIs, JSON, and XML.
  • Experience with file-based integrations and messaging platforms.
  • Strong understanding of data quality, validation, governance, and compliance.
  • Experience with CI/CD and DevOps practices.
  • Strong understanding of data pipeline performance, scalability, and reliability.
  • Good analytical and problem-solving skills.
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