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Sr. Data Engineer

Ness Digital Engineering
Bengaluru, IND
Full-time
Senior · 5+ years experience
Hybrid
Discovered 3 weeks ago
SnowflakeSQLEMRPythonApache AirflowTableau
Free

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Key skills for this role

SnowflakeSQLEMR
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  • Data Pipeline Development: Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation.
  • Technical Leadership: Lead offshore development teams in implementing best practices for data engineering and ELT development.
  • Data Integration: Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems.
  • Performance Optimization: Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake.
  • Data Quality Assurance: Implement and monitor data validation procedures to ensure data accuracy and consistency across systems.
  • Collaboration and Communication: Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals.
  • Documentation: Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic.
  • Issue Resolution: Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks.
  • Compliance and Security: Ensure all data management processes comply with data governance policies and regulatory requirements in financial services.
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • 5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development.
  • Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization.
  • Proficiency in SQL and familiarity with data integration and ETL/ELT tools.

• AWS Technologies (Glue, EMR)

  • Python for data engineering workflows
  • Strong understanding of data engineering design patterns
  • Strong problem-solving skills and the ability to work independently to meet deadlines.
  • Excellent communication skills for effectively interacting with technical and non-technical stakeholders.
  • Certifications in Snowflake or relevant data technologies.
  • Experience in the financial services sector, especially asset management / alternative investments, with an understanding of data security and compliance requirements.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).

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