Data Engineer - ETL+ Python

Infosys; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Infosys in Hyderabad is seeking a Data Engineer-ETL + Python with 5-12 years of experience to design, develop, and maintain ETL/ELT pipelines across diverse data sources and targets, using Python and SQL to ensure data quality.

You will collaborate with data analysts, BI teams and stakeholders, optimize pipeline performance, document processes, and support data migrations and cloud modernization while following data governance standards.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Build scalable data ingestion and transformation workflows using Python.
• Extract data from multiple source systems and load it into target platforms.
• Develop and optimize SQL queries, stored procedures, and database objects.
• Integrate structured and unstructured data from various sources.
• Ensure data accuracy, consistency, and quality across datasets.
• Monitor and troubleshoot ETL jobs and production data pipelines.
• Implement data validation, cleansing, and reconciliation processes.
• Work with data warehouses, data lakes, and cloud data platforms.
• Optimize pipeline performance and processing efficiency.
• Collaborate with data analysts, BI teams, and business stakeholders.
• Maintain documentation and follow data governance standards.
• Support data migration, modernization, and cloud transformation initiatives.

Job description

Position: Data Engineer-ETL + Python

Experience: 5-12 years

Location: Hyderabad

Employment Type: Full-Time

Roles & Responsibilities

• Design, develop, and maintain ETL/ELT pipelines.
• Build scalable data ingestion and transformation workflows using Python.
• Extract data from multiple source systems and load it into target platforms.
• Develop and optimize SQL queries, stored procedures, and database objects.
• Integrate structured and unstructured data from various sources.
• Ensure data accuracy, consistency, and quality across datasets.
• Monitor and troubleshoot ETL jobs and production data pipelines.
• Implement data validation, cleansing, and reconciliation processes.
• Work with data warehouses, data lakes, and cloud data platforms.
• Optimize pipeline performance and processing efficiency.
• Collaborate with data analysts, BI teams, and business stakeholders.
• Maintain documentation and follow data governance standards.
• Support data migration, modernization, and cloud transformation initiatives.