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Mastech Digital Linkedin · Posted 21d ago

Senior Data Engineer

India

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Indexed description

POSITION: Reltio MDM Developer

LOCATION: Chennai/Hyderabad/Bangalore- Hybrid.

DURATION: Full Time.

Notice Period: Immediate joiner/ Serving notice less than 45 days


Must have skills (Hand's on)

Azure Synapse Analytics- 3 years

Pyspark- 4+ years

Python- 1+ years

Fabric- 6+ months


This is a migration project from Azure Synapse Analytics to Fabric


Experience: 8+ Years


Job Summary

We are seeking a highly skilled Senior Data Engineer to join the Data Cloud team supporting client. The ideal candidate should possess strong data engineering expertise with hands-on experience in Python, Azure Synapse Analytics, Microsoft Fabric, Databricks, and modern cloud-based data platforms.

The candidate should be capable of independently designing, developing, optimizing, and supporting scalable data solutions while working closely with business and technical stakeholders.


Key Responsibilities

  • Analyze business requirements and design scalable data engineering solutions.
  • Design, develop, and maintain robust data pipelines and ETL/ELT frameworks.
  • Build and optimize data ingestion, transformation, and processing workflows using Python and PySpark.
  • Develop data solutions using Azure Synapse Analytics, Microsoft Fabric, and Databricks.
  • Implement scalable data lake and data warehouse architectures.
  • Develop reusable, metadata-driven, and parameterized data pipelines.
  • Perform complex data transformations, aggregations, joins, and data quality validations.
  • Optimize pipeline performance and troubleshoot data processing issues.
  • Implement monitoring, logging, and error-handling frameworks.
  • Work with structured and semi-structured data sources across cloud and on-premise platforms.
  • Support production incidents, root cause analysis, and performance tuning activities.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Participate in code reviews and follow engineering best practices.


Required Skills

  • Strong Python programming experience
  • PySpark
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Databricks
  • SQL
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • Delta Lake
  • Data Warehousing Concepts
  • ETL / ELT Development
  • Data Modeling
  • CI/CD and DevOps practices
  • Performance Optimization and Troubleshooting


Preferred Experience

  • Banking or Financial Services domain experience
  • Regulatory reporting and analytics platforms
  • Medallion Architecture (Bronze, Silver, Gold)
  • Large-scale cloud data migration and modernization projects


Key Expectations

  • Strong engineering and problem-solving capabilities
  • Ability to work independently with minimal supervision
  • Experience handling complex data transformation and integration scenarios
  • Strong debugging, troubleshooting, and optimization skills
  • Excellent communication and stakeholder management skills


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