About the Role

We are seeking a skilled Data Engineer (SQL Developer) to design, develop, and maintain high-quality data solutions supporting analytics and reporting. The ideal candidate will have strong SQL development expertise, experience in data modelling and ETL workflows, and exposure to Power BI and cloud data platforms.

Key Responsibilities:

  • Design, develop, and maintain SQL scripts, stored procedures, and data pipelines for reporting and analytics.
  • Build and optimize database models, ETL workflows, and data integration processes.
  • Work with cross-functional teams to translate business requirements into scalable data solutions.
  • Perform data validation, quality checks, and performance tuning of SQL queries.
  • Support integration of data from multiple sources, including on-premises and cloud environments.
  • Collaborate with BI developers to ensure smooth data availability for Power BI dashboards and reports.
  • Ensure adherence to data security, governance, and compliance standards.

Required Skills & Experience:

  • 2–5 years of hands-on experience in SQL development (MS SQL Server, Azure SQL, or equivalent).
  • Expertise in complex SQL queries, joins, CTEs, views, and stored procedures.
  • Strong knowledge of data modelling, ETL processes, and data warehousing concepts.
  • Experience with query optimization and database performance tuning.
  • Understanding of data quality and integrity best practices.

Good to Have :

  • Exposure to Power BI – data modelling, DAX, and report/dashboard creation.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud (especially data services like ADF, Snowflake, Redshift, or BigQuery).
  • Familiarity with ETL tools such as Informatica Cloud (IICS), Azure Data Factory, or Talend.
  • Basic understanding of Python or automation scripts for data validation and integration.
  • Experience working in Agile/Scrum delivery environments.

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Soft Skills

Strong analytical and problem-solving ability.
Excellent communication skills.
Detail-oriented with a focus on data accuracy and performance.

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