Data Engineer

Job Description

Job Description

Data Engineer

2–5 years

Full-time

We are looking for a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have strong experience in SQL, Python, ETL/ELT processes, cloud data platforms, and data warehousing.

• Design, develop, and maintain reliable data pipelines for batch and real-time data processing.
• Build and optimize ETL/ELT workflows from multiple data sources.
• Develop complex SQL queries, stored procedures, and data transformations.
• Work with data warehouses, data lakes, and cloud-based data platforms.
• Perform data cleansing, transformation, validation, and integration.
• Monitor data pipelines and troubleshoot failures, performance issues, and data-quality problems.
• Optimize data processing jobs and database queries for performance and scalability.
• Implement data-quality checks and ensure data accuracy and consistency.
• Collaborate with Data Scientists, BI Developers, Analysts, and Software Engineers.
• Participate in data architecture and pipeline design discussions.
• Maintain technical documentation for data pipelines, workflows, and data models.
• Follow security, governance, and best practices for handling enterprise data.

• Strong proficiency in SQL .
• Strong programming experience in Python .
• Hands-on experience with ETL/ELT pipelines .
• Experience with data warehousing concepts and dimensional data modeling.
• Experience with databases such as SQL Server, PostgreSQL, MySQL, or similar.
• Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP .
• Understanding of data lakes and distributed data processing.
• Experience with version control systems such as Git .
• Strong understanding of data quality, data validation, and error handling.

• Experience with Microsoft Fabric , Azure Data Factory, Azure Synapse, or Databricks.
• Experience with Apache Spark/PySpark.
• Knowledge of Power BI and BI data models.
• Experience with streaming technologies such as Kafka.
• Knowledge of CI/CD and DevOps practices.
• Experience working with REST APIs and integrating data from external systems.
• Familiarity with data governance, security, and compliance.

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• Ability to work independently and as part of a team.
• Strong attention to detail.
• Ability to troubleshoot complex data issues.

• 2–5 years of hands-on experience in Data Engineering.
• Strong SQL and Python expertise.
• Practical experience developing and supporting production data pipelines.
• Good understanding of cloud data engineering and modern data architecture.