ETL/DataStage SQL Engineer

3 weeks ago

Hyderabad, India MyHashtagss Full time

Description : Job Title : ETL/DataStage SQL EngineerKey Responsibilities : - Act as a critical member of the Colocation Team and Site Strategy, supporting both on-premises and cloud-based data platforms to ensure seamless data operations.- Design, develop, and maintain robust ETL workflows and data pipelines using DataStage and other ETL tools, ensuring high data quality, consistency, and reliability.- Support, monitor, and optimize on-prem Teradata environments while planning, migrating, and integrating data with modern cloud platforms such as Snowflake and Databricks.- Analyze, optimize, and troubleshoot complex SQL queries, ensuring optimal database performance and minimal latency in data processing.- Implement, maintain, and improve workflow orchestration using Airflow to automate data pipelines efficiently.- Integrate modern DevOps best practices into ETL development, including version control via GitHub, automated CI/CD pipelines, and leveraging GitHub Copilot for enhanced coding efficiency.- Collaborate closely with business analysts, data architects, and technical teams to design and deliver scalable, reliable, and reusable data solutions that meet evolving business needs.- Explore and leverage AI/ML frameworks and tools to automate repetitive tasks, optimize processes, and enhance data engineering efficiency.- Document technical workflows, ETL processes, and best practices to ensure knowledge transfer and maintain operational continuity.- Participate actively in a hybrid work model, spending a minimum of three days per week onsite at HCL Hyderabad or Noida offices, while maintaining remote collaboration for flexibility.Required Skills & Experience : - Strong hands-on experience with UNIX/Linux environments, including shell scripting and command-line tools.- Expertise in ETL design and development, with hands-on experience in DataStage or equivalent ETL platforms.- Solid understanding of Data Warehousing concepts, dimensional modeling, and SQL query optimization.- Proficiency in Snowflake, Databricks, and Teradata environments, with experience in data migration and integration.- Advanced programming skills in Python and PySpark for data manipulation, automation, and pipeline optimization.- Experience in workflow orchestration using Airflow, including scheduling, monitoring, and error handling.- Familiarity with GitHub Copilot, modern coding practices, and DevOps workflows to improve development efficiency.- Awareness of AI/ML concepts and practical ability to leverage automation and data-driven solutions.- Strong analytical, problem-solving, and communication skills, with the ability to work collaboratively in a fast-paced environment.- (Nice to have) Prior experience in the Healthcare domain, including HIPAA-compliant data handling and reporting. (ref:hirist.tech)

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