Data Engineer - Python, SQL & BI

We are looking for a skilled Data Engineer to design, build, and maintain reliable data pipelines and analytics solutions. The ideal candidate has strong experience with Python, SQL, data warehousing, ETL/ELT processes, and Business Intelligence (BI).

You will work closely with data analysts, business teams, and engineering teams to transform raw data into accurate, actionable insights.

Responsibilities

• Develop and maintain scalable data pipelines using Python and SQL.
• Build ETL/ELT processes to collect, transform, and load data from multiple sources.
• Design and optimize data warehouses, databases, and data models.
• Write complex SQL queries for data transformation, analysis, and reporting.
• Ensure data quality, accuracy, security, and reliability.
• Support BI dashboards and reporting using tools such as Power BI, Tableau, or Looker.
• Partner with analysts and business stakeholders to understand data requirements.
• Troubleshoot data pipeline and performance issues.
• Automate repetitive data-processing and reporting tasks.
• Document data pipelines, processes, and data models.

• Strong programming experience with Python.
• Advanced SQL skills, including joins, CTEs, window functions, and query optimization.
• Experience building ETL/ELT pipelines.
• Knowledge of relational databases and data warehousing concepts.
• Experience with at least one BI platform such as Power BI, Tableau, or Looker.
• Understanding of data modeling, data quality, and database performance.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with AWS, Azure, or Google Cloud.
• Experience with Spark, Airflow, dbt, Snowflake, Databricks, or similar technologies.
• Familiarity with Git and CI/CD.
• Experience working with APIs and cloud-based data sources.
• Knowledge of dimensional modeling and modern data platforms.