Job Summary
We are seeking a skilled Data Engineer with expertise in Python development and Power BI to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines, transforming raw data into clean datasets, and delivering compelling dashboards and insights to drive business decisions.
Key Responsibilities
Design, develop, and optimize ETL/ELT pipelines using Python and SQL.
Develop and maintain Power BI dashboards and reports to visualize data and track KPIs.
Work with stakeholders to gather business requirements and translate them into technical solutions.
Perform data wrangling, cleaning, and transformation to prepare datasets for analysis.
Integrate data from multiple sources (APIs, databases, cloud storage).
Ensure data quality, integrity, and security across systems.
Collaborate with data analysts, scientists, and engineering teams to support advanced analytics.
Monitor and improve pipeline performance, scalability, and reliability.
Required Skills
Python for data engineering (e.g., pandas, NumPy, pyodbc, SQLAlchemy, etc.)
Strong experience in Power BI (DAX, Power Query, data modeling, publishing dashboards)
Advanced SQL skills (joins, CTEs, indexing, optimization)
Experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL)
Understanding of ETL/ELT principles, data architecture, and data warehouse concepts
Familiarity with APIs, RESTful services, and JSON/XML data handling
Preferred/Bonus Skills
Experience with Azure Data Factory, Databricks, or AWS Glue
Familiarity with CI/CD, version control (Git), and DevOps practices
Knowledge of cloud platforms (Azure, AWS, or GCP)
Basic understanding of data governance, security, and GDPR compliance
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
3+ years of hands-on experience in data engineering roles
Soft Skills
Strong analytical and problem-solving mindset
Excellent communication and collaboration skills
Ability to work independently and in cross-functional teams #J-18808-Ljbffr