Mastek
Create a free account
One signup unlocks everything for this job:
- See your personalized profile match score
- See the skills this role is missing for you
- Apply to this job and track your application
- Generate an AI cover letter for this role
Anywhere · Remote · 2-5 Yrs · Oct 7
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
Role: Data Operations Engineer
Responsibilities
- Operations Support
- ● Monitor and triage production data pipelines, ingestion jobs, and transformation workflows (e.g. dbt, Snowflake tasks)
- ● Manage and resolve data incidents and operational issues, working cross-functionally with platform, data, and analytics teams
- ● Develop and maintain internal tools/scripts for observability, diagnostics, and automation of data workflows
- ● Participate in on-call rotations to support platform uptime and SLAs
- Data Platform Engineering Support
- ● Help manage infrastructure-as-code configurations (e.g., Terraform for Snowflake, AWS, Airflow)
- ● Support user onboarding, RBAC permissioning, and account provisioning across data platforms
- ● Assist with schema and pipeline changes, versioning, and documentation
- ● Assist with setting up monitoring on new pipelines in metaplane
- Data & Analytics Engineering Support
- ● Diagnosing model failures and upstream data issues
- ● Collaborate with analytics teams to validate data freshness, quality, and lineage
- ● Coordinate and perform backfills, schema adjustments, and reprocessing when needed
- ● Manage operational aspects of source ingestion (e.g., REST APIs, batch jobs, database replication, kafka)
- (confirm the writeup with Jason Prentice)
Qualifications
- ● At least 2–4 years of experience in data engineering, DevOps, or data operations roles
- ● Solid understanding of modern data stack components (Snowflake, dbt, Airflow, Fivetran, cloud storage)
- ● Proficiency with SQL and comfort debugging data transformations or analytic queries
- ● Basic scripting/programming skills (e.g., Python, Bash) for automation and tooling
- ● Familiarity with version control (Git) and CI/CD pipelines for data projects
- ● Strong troubleshooting and communication skills — you enjoy helping others and resolving issues
- ● Familiarity with observability tools such as datadog
- ● Exposure to data governance tools and concepts (e.g., data catalogs, lineage, access control)
- ● Understanding of ELT best practices and schema evolution in distributed data systems
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 21 October 2026
- How do I apply for Data Operations Engineer(DBT, Snowflake, Terraform, Apache, Python, AWS, SQL) Fulltime - Remote - Night Shift - 8+ Years needed at Mastek?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mastek may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Operations Engineer(DBT, Snowflake, Terraform, Apache, Python, AWS, SQL) Fulltime - Remote - Night Shift - 8+ Years needed role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Operations Engineer(DBT, Snowflake, Terraform, Apache, Python, AWS, SQL) Fulltime - Remote - Night Shift - 8+ Years needed remote or on-site in Anywhere?
- This listing is marked remote with location Anywhere. Confirm details on the job description before applying.
- What skills matter for this Data Operations Engineer(DBT, Snowflake, Terraform, Apache, Python, AWS, SQL) Fulltime - Remote - Night Shift - 8+ Years needed role at Mastek?
- This is a senior Data Operations Engineer(DBT, Snowflake, Terraform, Apache, Python, AWS, SQL) Fulltime - Remote - Night Shift - 8+ Years needed role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.