Data Science Engineer

Job Title: Data Science Engineer

Experience Level: Mid-Senior (6+ years)

About the Role:

We are seeking a highly skilled and motivated Data Science Engineer with a strong background in building scalable data solutions and visualizations. The ideal candidate will have at least 6 years of experience working with Power BI, Azure Data Factory (ADF), Databricks, and Snowflake, along with hands-on experience in ETL processes, preferably involving SAP data sources.

Key Responsibilities:

Design, develop, and maintain Power BI dashboards and reports to support business decision-making.

Build and optimize data pipelines using ADF, Databricks, and Snowflake.

Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.

Perform data extraction, transformation, and loading (ETL) from various sources, including SAP.

Ensure data quality, integrity, and governance across all platforms.

Implement best practices for data engineering and analytics workflows.

Monitor and troubleshoot data pipelines and reporting issues.

Required Qualifications:

Bachelors or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Minimum of 6 years of experience in data engineering and analytics.

Proficiency in Power BI (DAX, data modeling, report design), Azure Data Factory, Databricks (PySpark or Scala), and Snowflake (SQL, performance tuning).

Strong understanding of ETL processes and data integration techniques.

Experience working with SAP data sources is a plus.

Excellent problem-solving and communication skills.

Preferred Qualifications:

Experience with CI/CD pipelines for data workflows.

Familiarity with data governance and security best practices.

Knowledge of machine learning or advanced analytics is a bonus.

Flexible work arrangements.