Mastek
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Anywhere · Remote · 10-13 Yrs · 3 days ago
Information Technology Support Services · 1001 to 5000 Employees · Mumbai, India
Mastek is an enterprise digital and cloud transformation partner that engineers excellence for customers in industries such as healthcare and life sciences, retail and consumer, manufacturing, financial services, and the public sector, across 40 countries, including the UK, US, Europe, the Middle East, and Asia Pacific. Mastek helps enterprises decomplexify digital and delivers business outcomes with trust, value, and velocity across the spectrum of services including digital experience and engineering, cloud implementations, data, automation and AI, and cloud managed services. Mastek recently launched its GenAI enabled portfolio iConniX that offers over 120 AI assets, 4 AI platforms, and solution blueprints tailored to meet industry specific business use cases. A preferred Oracle, Salesforce, Microsoft, AWS, and Snowflake partner, Mastek has 6000+ employees and delivers right-fit solutions to both medium businesses and global Fortune 1000 clients.
Hiring: Engineering
What employees say
+ Good reputation, skilled workforce, Focus on sectors like healthcare, government, and financial services
− Limited scale, intense competition, fluctuating demand
More reviews on the company profile.
Interview experience · Graduate Trainee
i applied through university campus , first round is application screening then second round online assessement qns aptitude, dsa 2 qns then shortlisted student got technical round sql qns and basics dsa then hr round
Average difficulty · India · 216 reports
More interview insightsJob description
Overview
We are looking for an experienced Senior Data Engineer with 10–12 years of experience in data engineering and strong hands-on expertise in SnapLogic and Snowflake.
Responsibilities
- Design, develop, and maintain robust data integration pipelines using SnapLogic.
- Develop and optimize data solutions using Snowflake as the cloud data warehouse.
- Build scalable and reliable ETL/ELT pipelines to integrate data from multiple source systems.
- Develop data processing and automation solutions using Python.
- Design and implement efficient data models, transformations, and data workflows in Snowflake.
- Perform Snowflake performance tuning, query optimization, and warehouse optimization.
- Develop and maintain SnapLogic pipelines, integrations, mappings, transformations, and error-handling mechanisms.
- Schedule, monitor, and manage batch jobs and enterprise workflows using Control-M.
- Troubleshoot data pipeline failures, integration issues, and production incidents.
- Implement data quality, validation, logging, monitoring, and exception-handling mechanisms.
- Collaborate with architects, business analysts, application teams, and other stakeholders to understand data requirements.
- Participate in code reviews, technical design discussions, testing, deployment, and production support.
- Ensure data engineering solutions follow organizational standards for security, scalability, performance, and maintainability.
- Provide technical guidance and mentoring to junior and mid-level data engineers.
Qualifications
- 10–12 years of overall Data Engineering experience.
- Strong hands-on experience with SnapLogic for enterprise data integration and pipeline development.
- Strong hands-on experience with Snowflake, including data warehousing, SQL, performance tuning, optimization, and data modeling.
- Strong programming experience in Python for data processing and automation.
- Hands-on experience with Control-M for enterprise job scheduling, workflow orchestration, and monitoring.
- Strong understanding of ETL/ELT concepts and data integration patterns.
- Strong SQL development and query optimization skills.
- Understanding of data warehouse architecture and dimensional/data modelling.
- Knowledge of cloud data engineering and modern data platform architecture is preferred.
- Good understanding of data governance, security, and data quality practices.
- Strong analytical and problem-solving skills.
- Ability to independently design and deliver data engineering solutions.
- Strong communication and stakeholder management skills.
- Ability to work effectively in a collaborative, cross-functional environment.
- Strong troubleshooting and production-support capabilities.
- 10–12 Years
- SnapLogic | Snowflake | Python | Control-M
- Important: Candidates without strong hands-on SnapLogic and Snowflake experience should not be considered for this position
Nice to have
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
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Job application FAQ
Last updated 8 October 2026
- How do I apply for Senior Data Engineer – SnapLogic & Snowflake - Remote - Fulltime at Mastek?
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