Ness Technologies - Senior Data Engineer - Python/Power BI (7-14 yrs)

Position : Senior Data Engineer

Job Location : Gurugram

Work mode : Work from office (5 Days)

Key Roles & Responsibilities :

- 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.

Required Qualifications :

- 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.

- Experience managing and collaborating with offshore development teams.

- 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.

Preferred Qualifications :

- Certifications in Snowflake or relevant data technologies.

- Experience in the financial services sector 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).

- Experience with scripting languages such as Python or JavaScript for data transformation.

- Knowledge of data visualization tools (e.g., Tableau, Power BI).

Required Qualifications :

- 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.

- Experience managing and collaborating with offshore development teams.

- 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.

Preferred Qualifications :

- Certifications in Snowflake or relevant data technologies.

- Experience in the financial services sector 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).

- Experience with scripting languages such as Python or JavaScript for data transformation.

- Knowledge of data visualization tools (e.g., Tableau, Power BI).

- Looking for immediate joiner