Data Engineer - Senior Software Engineer

Three Across; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Three Across in Hyderabad is seeking an experienced Data Engineer to design, develop, and optimize enterprise-scale data solutions that power BI, AI, and analytics. You will lead data platform architecture, apply cloud-based strategies, and mentor teams to deliver reliable data systems.

The role focuses on SQL excellence, JSON ingestion, ETL pipelines, and collaboration with developers and analysts to meet data requirements, ensure quality, and enable scalable insights.

Qualifications

• Strong SQL and Azure SQL Database knowledge.
• Experience Writing Complex SQL Queries, Stored Procedures, Functions, Views, and triggers.
• Experience designing database objects (tables, indexes, constraints, table types).
• Understanding of ETL processes and data ingestion pipelines.
• Experience with JSON parsing in SQL.
• Data modelling and database design.
• Experience with master/reference data management.
• Knowledge of query optimization and performance tuning.
• Experience with Git/Azure DevOps for source control.

Responsibilities

• Design and implement database objects and ETL pipelines.
• Develop solutions to process REST API responses and transform JSON data into relational tables.
• Build and maintain ETL processes for loading transactional and master data.
• Perform data validation, cleansing, transformation, and reconciliation during data ingestion.
• Design schemas, indexes, constraints, and relationships following best practices.
• Optimize SQL queries and troubleshoot performance issues.
• Implement logging, exception handling, and batch processing mechanisms in database procedures.
• Collaborate with application developers, integration teams, and business analysts to understand data requirements.
• Support deployment, testing, and production issue resolution.
• Prepare technical documentation for database objects and ETL processes.
• Participate in code reviews and ensure adherence to coding standards.

Skills

SQL & Azure SQL

Complex SQL

Stored Procedures

Views

JSON parsing in SQL

ETL processes

Data modelling

Master data mgmt

Query optimization

DevOps

Database design

Batch processing

Tools

Azure DevOps

Azure Data Factory

Job description

Job Title: Data Engineer

Location: Hyderabad/Ahmedabad

Employment Type: Full-time

Position Overview

We are seeking an experienced Data Engineer for designing, developing, and optimizing enterprise-scale data solutions. The ideal candidate will lead our data engineering strategy, architect cloud-based data platforms, and mentor engineering teams to deliver scalable and reliable data systems that power business intelligence, AI, and analytics.

Roles & Responsibilities

• Design and implement Stored Procedures, Functions, Views, and User-Defined Table Types.
• Develop database solutions to process REST API responses and transform JSON data into relational tables.
• Build and maintain ETL processes for loading transactional and master data.
• Perform data validation, cleansing, transformation, and reconciliation during data ingestion.
• Design database schemas, indexes, constraints, and relationships following best practices.
• Optimize SQL queries and troubleshoot performance issues.
• Implement logging, exception handling, and batch processing mechanisms in database procedures.
• Collaborate with application developers, integration teams, and business analysts to understand data requirements.
• Support deployment, testing, and production issue resolution.
• Prepare technical documentation for database objects and ETL processes.
• Participate in code reviews and ensure adherence to coding standards and best practices.

Must Have

• Strong SQL and Azure SQL Database knowledge.
• Experience Writing Complex SQL Queries, Stored Procedures, Functions, Views, and triggers.
• Experience designing database objects (tables, indexes, constraints, table types).
• Understanding of ETL processes and data ingestion pipelines.
• Experience with JSON parsing in SQL.
• Data modelling and database design.
• Experience with master/reference data management.
• Knowledge of query optimization and performance tuning.
• Experience with Git/Azure DevOps for source control.

Good to Have

• Azure Data Factory (ADF).
• Knowledge of batch processing and audit logging.
Familiarity with refinery, manufacturing, or industrial data domains.