The Role
Designs, builds, and maintains Snowflake-based ELT pipelines for data ingestion, integration, and transformation. Leads offshore data engineering teams, optimizes pipeline performance, implements data quality controls, troubleshoots failures, documents data flows, and ensures compliance with governance and security requirements. Collaborates with architects, project managers, analysts, and business stakeholders to deliver scalable data solutions.
Summary Generated by Built In
Job Title: Data Engineer
Location: Primary: Gurugram, India (Onsite – 4 days/week)
Life at Ness:
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter.
At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter.
About the Role:
We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.
We are seeking an experienced Technical Data Engineer / ELT Developer with expertise in data integration and pipeline development using Snowflake. The ideal candidate will manage data ingestion and transformation, working with an offshore team to deliver efficient and scalable data solutions that align with business requirements and performance standards.
Key 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.
- 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.
Preferred Qualifications:
- 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).
Why Join Us:
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents.
At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents.
With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful.
Ready to Start Your Journey?
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 5+ years of data engineering experience focused on ELT processes and data pipeline development
- Hands-on experience with Snowflake, including data sharing, secure views, and performance optimization
- Proficiency in SQL and familiarity with ETL/ELT and data integration tools
- Experience with AWS Glue and AWS EMR
- Python experience for data engineering workflows
- Strong understanding of data engineering design patterns
- Strong problem-solving skills and ability to work independently
- Excellent communication skills with technical and non-technical stakeholders
- Snowflake or relevant data technology certifications
- Financial services experience, particularly asset management or alternative investments
- Familiarity with AWS or Azure and orchestration tools such as Apache Airflow
- Knowledge of Tableau or Power BI
Ness Digital Engineering Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ness Digital Engineering and has not been reviewed or approved by Ness Digital Engineering.
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Healthcare Strength — Healthcare coverage is often positioned as comprehensive, with medical and dental described as strong in North America. Wellness programs are also emphasized as part of the core package.
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Flexible Benefits — Flexible or remote work options are frequently highlighted as part of the overall rewards experience. Learning and upskilling support is repeatedly framed as a meaningful benefit tied to the employee value proposition.
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Fair & Transparent Compensation — Pay is characterized as generally “okay to good,” with stronger packages appearing for certain senior roles and some U.S. positions. This suggests compensation can be market-aligned when role level and geography are favorable.
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The Company
What We Do
Ness Digital Engineering, acquired by global investment firm KKR in 2022, is a full-lifecycle digital engineering firm offering digital advisory through scaled engineering services. Headquartered in New York, Ness serves our customers across 11 innovation hubs in the US, Eastern Europe, and India. Combining our core competence in engineering with the latest in digital strategy and technology, we seamlessly manage Digital Transformation journeys from strategy through execution to help businesses thrive in the digital economy. For more information, visit www.ness.com
