Senior Data Engineer

Saur Energy International; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Saur Energy International in Hyderabad, India, is seeking an experienced Data Engineer to design and manage data pipelines using Azure Data Factory, integrate data from multiple sources, and optimize MySQL performance.

You'll build and maintain data lakes and data warehouses on Azure, ensure data quality and governance, and collaborate with data scientists and business teams to deliver scalable data solutions.

Qualifications

• 6–8 years of experience in data engineering or related roles.
• Proficient in SQL and PL/SQL.
• Hands-on with Azure data ecosystem and MySQL.
• Experience building data pipelines and warehousing solutions.
• Familiar with REST APIs and data integration techniques.
• Knowledge of data governance and data quality practices.

Responsibilities

• Design, develop and maintain data ingestion, transformation and integration pipelines with Azure Data Factory.
• Ensure seamless data integration from disparate systems and applications.
• Work with MySQL for data extraction, transformation and performance tuning.
• Develop and maintain data lakes and data warehouses on Azure.
• Ensure data quality, integrity and governance across systems.
• Optimize SQL queries, stored procedures and indexing in MySQL.
• Collaborate with data scientists, analysts and business teams to deliver data solutions.
• Monitor, troubleshoot and improve pipeline performance and reliability.

Skills

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS Gen2)

MySQL

SQL

PLSQL

Data pipelines

Data warehousing

REST APIs

Git

CI/CD

Data quality

Tools

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS Gen2)

MySQL

Git

CI/CD

Job description

Key Responsibilities

• Design, develop, and maintain data ingestion, transformation, and integration pipelines using Azure Data Factory.
• Ensure seamless integration of data from disparate systems and applications.
• Work extensively withMySQL databasesfor data extraction, transformation, and performance tuning.
• Develop and maintaindata lakes and data warehouseson Azure
• Ensure data quality, integrity, and governance across systems
• Optimize SQL queries, stored procedures, and indexing in MySQL
• Collaborate with data scientists, analysts, and business teams to deliver data solutions
• Monitor, troubleshoot, and improve pipeline performance and reliability.

Required Skills and Experience

Technical Skills

• 6–8 years of experience indata engineering or related roles
• Strong hands-on experience with:
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS Gen2)
• Solid experience withMySQL:
• Query optimization
• Stored procedures
• Indexing and performance tuning
• Proficiency inSQL & PLSQL
• Experience in buildingdata pipelines and data warehousing solutions
• Data quality evaluation and data migration techniques
• Familiarity withREST APIs and data integration techniques
• Experience withversion control (Git)and CI/CD practices.
• Understanding of data quality tools and techniques.
• Knowledge of modern data architectures, including Medallion (Bronze/Silver/Gold) design patterns.

Soft Skills

• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Strong analytical and problem-solving abilities.
• Ability to manage time effectively and deliver in dynamic, fast-paced environments.

Minimum Qualifications

• 6 to 8 years of experience in data engineering, with a focus on cloud-based architecture.
• Proven expertise in SQL, PLSQL & Azure data ecosystem.
• Strong documentation and reporting abilities.

Preferred Qualifications

• Experience in process modeling and continuous improvement.
• Familiarity with data governance frameworks.
• Domain experience in supply chain management, logistics, or finance analytics, enabling data-driven decision-making across the enterprise.