Data Engineer

Responsibilities:

• Design and develop scalable data pipelines for data extraction, transformation, integration, and loading.

• Integrate data from databases, data warehouses, APIs, and external systems while ensuring data integrity and consistency.

• Perform data cleansing, transformation, aggregation, filtering, and enrichment.

• Implement data quality checks and validation processes.

• Optimize data pipelines and processing workflows for performance, scalability, and efficiency.

• Monitor data systems, troubleshoot performance issues, and implement optimization techniques.

• Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions.

• Support data modeling, ETL/ELT, master data management, data warehousing, analytics, BI, and data governance initiatives.

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field.

• 8+ years of experience in data engineering, including data modeling, ETL/ELT, data integration, data quality, data warehousing, analytics, BI, and governance.

• Proficiency in Python, SQL, C#, and/or Java.

• Experience with Azure SQL, Synapse, Cosmos DB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, and Microsoft Fabric.

• Experience with Informatica Cloud, including CIH, DIH, CDGC, MDM, and Data Quality.

• Experience with Snowflake and modern cloud data platforms.

• Strong analytical, problem-solving, communication, and stakeholder collaboration skills.

Nice to Have:

• Relevant technology certifications.

• Experience in professional services, consulting, or managed services environments.