Sr. Data Engineer

Key Responsibilities

• Design, develop, and maintain scalable data ingestion, transformation, and integration pipelines.
• Analyze, diagnose, and resolve DQCI (Data Quality & Critical Issues) remediation requirements across the data ecosystem.
• Implement fixes across ingestion, transformation, and consumption layers to ensure data accuracy and consistency.
• Perform root-cause analysis of data defects and implement sustainable long-term solutions.
• Develop and optimize ETL/ELT processes using industry-leading data integration tools.
• Build and enhance data pipelines to support business intelligence, reporting, analytics, and downstream applications.
• Develop complex data transformation and mapping logic to meet business requirements.
• Integrate data from multiple internal and external systems through APIs and batch interfaces.
• Optimize SQL queries, database objects, and data processing workloads for performance and scalability.
• Collaborate with business, analytics, and architecture teams to ensure high-quality data delivery.
• Support DevOps and CI/CD practices for deployment, version control, and release management.
• Ensure adherence to data governance, security, and compliance standards.

Required Technical Skills

Core Skills

• Snowflake Development
  • Data modeling and schema design
  • Performance tuning and optimization
  • Stored procedures, tasks, streams
• Matillion ETL/ELT
  • Job orchestration
  • Data transformation and workflow development
  • Integration with Snowflake and cloud platforms
• Talend Data Integration
  • ETL development
  • Data migration and integration solutions
  • Data quality and validation frameworks
• Advanced SQL
  • Complex joins, stored procedures, views, and performance optimization
  • Query tuning and large-scale data processing
• Data Pipelines
  • Batch and near real-time processing pipelines
  • Data ingestion, transformation, and orchestration
• Data Transformation & Mapping
  • Source-to-target mappings
  • Business rule implementation
  • Data reconciliation
• API Integration
  • REST/SOAP APIs
  • API-based data ingestion and integration
• Azure DevOps
  • Source control management
  • CI/CD pipeline and deployment
  • Release management and automation

Expected Contributions

• Diagnose and resolve DQCI remediation work across enterprise data platforms.
• Implement fixes across ingestion and transformation pipelines to eliminate recurring data issues.
• Correct defects at source, integration, or consumption layers based on root-cause analysis.
• Improve overall platform stability, reliability, and data quality.
• Deliver sustainable and scalable fixes rather than temporary workarounds.
• Optimize existing ETL/ELT processes and improve pipeline performance.
• Support production issues and provide timely resolution of critical data incidents.
• Ensure data accuracy, completeness, and consistency across systems.
• Collaborate effectively with Data Architects, Business Analysts, QA teams, and stakeholders.
• Contribute to continuous improvement initiatives and engineering best practices.

Preferred Qualifications

• Strong Experience with Talend + Snowflake + Matillion + Postgress
• Hands on experience on AWS and S3
• Strong knowledge of data warehousing concepts, dimensional modeling, and data governance.
• Experience working in Data warehousing projects & agile
• Strong analytical, troubleshooting, and problem-solving skills.

Target Designation: Senior Data Engineer

Location Preference: Offshore

Primary Skills: Talend, Snowflake, Advanced SQL, Matillion, Data Pipeline Engineering, Data warehousing.

Secondary Skills: Postgress, API integration, AWS, Matillion, Azure DevOps

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