Senior ETL Specialist for Cloud Migration

1 week ago


Gurgaon, Haryana, India Gemini Solutions Private Limited Full time

About Gemini Solutions

Gemini Solutions Private Limited is a global IT consulting firm that excels in offshore outsourcing services. We have a strong presence in the BFSI domain and have successfully executed numerous projects across various technologies.

We are looking for an experienced Senior ETL Specialist to lead our data migration, integration, and pipeline development efforts.

This role involves overseeing the migration of on-premise databases to AWS cloud platforms, ensuring seamless integration across diverse systems.

The ideal candidate will design and optimize robust ETL/ELT workflows, leveraging tools like Informatica, AWS Glue, and custom Python solutions, while maintaining data quality and governance.

About the Job

Key Responsibilities
  • Design and develop data migration strategies to move on-premise data to AWS cloud-based solutions.
  • Develop and maintain robust, scalable data ingestion pipelines to integrate structured and unstructured data from various sources into cloud-based platforms.
  • Develop cloud-native data architectures using AWS services to optimize data storage, processing, and retrieval in AWS.
  • Build and optimize ETL/ELT processes using tools like Informatica, AWS Glue, and custom Python-based solutions.
  • Implement and manage workflow orchestration with Apache Airflow to automate and schedule ETL tasks, ensuring reliable data delivery to target systems.
  • Collaborate with stakeholders to understand data requirements, propose data solutions, and ensure alignment with business goals.
  • Ensure data quality, integrity, and compliance with governance policies by implementing monitoring and logging to ensure pipeline health and detect anomalies or issues proactively.

Skills Required:

  • Strong experience with ETL tools like Informatica, AWS Glue, or Apache NiFi.
  • Advanced proficiency in Python, including experience with libraries like Pandas, NumPy, and PySpark.
  • Proficiency in Apache Airflow for building, scheduling, and managing data workflows and pipeline automation.
  • Strong experience with relational databases like Oracle, SQL Server, and cloud databases like Amazon Redshift or RDS.
  • Familiarity with writing complex SQL queries and optimizing them for large-scale data processing.

Estimated Salary: ₹ 20,00,000 - ₹ 25,00,000 per annum



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