Data Engineer
PB consulting
Responsibilities:
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Design and develop scalable data pipelines for data extraction, transformation, integration, and loading.
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Integrate data from databases, data warehouses, APIs, and external systems while ensuring data integrity and consistency.
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Perform data cleansing, transformation, aggregation, filtering, and enrichment.
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Implement data quality checks and validation processes.
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Optimize data pipelines and processing workflows for performance, scalability, and efficiency.
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Monitor data systems, troubleshoot performance issues, and implement optimization techniques.
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Collaborate with data architects, data scientists, AI engineers, and analysts to support data-driven solutions.
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Support data modeling, ETL/ELT, master data management, data warehousing, analytics, BI, and data governance initiatives.
Qualifications:
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Bachelor’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or a related field.
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8+ years of experience in data engineering, including data modeling, ETL/ELT, data integration, data quality, data warehousing, analytics, BI, and governance.
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Proficiency in Python, SQL, C#, and/or Java.
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Experience with Azure SQL, Synapse, Cosmos DB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, and Microsoft Fabric.
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Experience with Informatica Cloud, including CIH, DIH, CDGC, MDM, and Data Quality.
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Experience with Snowflake and modern cloud data platforms.
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Strong analytical, problem-solving, communication, and stakeholder collaboration skills.
Nice to Have:
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Relevant technology certifications.
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Experience in professional services, consulting, or managed services environments.
Vacancy posted 5 days ago
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