Senior Data Engineer

Ness Digital Engineering

Data Engineer building Snowflake ELT pipelines for Ness Digital Engineering clients in financial services. Leading offshore teams and optimizing scalable, secure data integration workflows.

Posted 8/5/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ELT pipelines using Snowflake, with a strong focus on data accuracy, performance optimization, and compliance with financial services regulations. Proficient in SQL and Python for data engineering workflows, with experience in collaborating with cross-functional teams to achieve business objectives.

Highest-signal resume keywords

Snowflake ELT Pipeline DevelopmentSQL ProficiencyData Engineering Best PracticesAWS Glue and EMR ExperienceFinancial Services Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData IntegrationPerformance OptimizationData Validation ProceduresData Engineering Design PatternsPython for Data EngineeringSQLSnowflake Query TuningData Flow DiagramsTroubleshooting Pipeline Issues

Soft Skills

Strong Problem-Solving SkillsExcellent Communication Skills

Tools & Technologies

SnowflakeAWS GlueAWS EMRApache AirflowTableauPower BI

Certifications & Qualifications

Snowflake Certification

Industry Keywords

Financial ServicesAsset ManagementAlternative Investments

Tech Stack

Tools & technologies

AirflowApacheAWSAzureETLPythonSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain robust ELT pipelines using Snowflake for data ingestion, integration, and transformation
Lead offshore development teams in implementing data engineering and ELT best practices
Collaborate with stakeholders to understand data sources and integration requirements
Optimize pipelines for performance, scalability, and reliability, including Snowflake query tuning and resource management
Implement and monitor data validation procedures for data accuracy and consistency
Work with project managers, data architects, and business analysts to align milestones and deliverables with business goals
Create and maintain documentation of data pipelines, data flow diagrams, and transformation logic
Troubleshoot and resolve pipeline issues, job failures, and performance bottlenecks
Ensure data management processes comply with governance policies and financial-services regulatory requirements

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Technology, or a related field
5+ years of experience in data engineering focused on ELT processes and data pipeline development
Hands-on experience with Snowflake, including data sharing, secure views, and performance optimization
Proficiency in SQL
Familiarity with data integration and ETL/ELT tools
Experience with AWS Glue and EMR
Python for data engineering workflows
Strong understanding of data engineering design patterns
Strong problem-solving skills and ability to work independently to meet deadlines
Excellent communication skills for technical and non-technical stakeholders
Snowflake or relevant data technology certifications preferred
Financial services experience, especially asset management or alternative investments, preferred
Familiarity with AWS, Azure, and Apache Airflow preferred
Knowledge of Tableau or Power BI preferred

Benefits

Comp & perks

Resources for learning, certifications, and hands-on experiences
Flexible remote options
Access to development resources
Inclusive workplace that celebrates each team member’s unique talents