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Data Engineer

PB consulting

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.

Vacancy posted 4 days ago
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