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Gratitude Inc
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Pune · On-site · ₹17 LPA · 5-8 Yrs · Oct 31
2 views
1 to 50 Employees · Surat, India
2 open roles2 posted in 7d2 in 30d
Hiring: Engineering, Customer support and operations
What employees say
+ Nice Enviroment to work with wonderful global experiences
− Nothing to worry when working here
More reviews on the company profile.
Job description
Overview
Hiring Now | Data Engineer | PAN India | Up to ₹17 LPA
Responsibilities
- Role: Data Engineer
- Location: PAN India
- Shift: General Shift
- Band: BPO 5
- Salary: Up to ₹16–17 LPA
- Employment Type: Full-Time
- We're looking for an experienced Data Engineer with expertise in designing scalable data pipelines, cloud-based data engineering, ETL/ELT development, and large-scale data integration. If you're passionate about transforming raw data into meaningful insights while working with modern cloud technologies, we'd love to hear from you.
- Design, develop, and maintain scalable data pipelines.
- Build ETL/ELT workflows for enterprise data integration.
- Develop cloud-based data engineering solutions using AWS, Azure, or GCP.
- Build and optimize data lakes and data warehouses.
- Process structured and unstructured datasets efficiently.
- Implement data quality, validation, and integrity checks.
- Collaborate with cross-functional stakeholders and clinical data teams.
- Automate manual data processes and improve pipeline performance.
- Develop reusable frameworks, libraries, and templates.
- Support API integrations and enterprise data transfer processes.
- Deliver data visualization and analytical solutions.
- Ensure compliance with SOPs, GCP, and enterprise standards.
Qualifications
- 8+ years of overall IT experience
- Minimum 5 years of hands-on experience in Data Engineering
- Experience building and maintaining data pipelines for heterogeneous data sources
- Experience with enterprise-level data integration and cloud deployment
- Python and/or R Programming
- SQL & NoSQL Databases
- Cloud Platforms ( AWS / Azure / GCP )
- Apache Spark ( Databricks )
- ETL & ELT Development
- Data Warehousing & Data Lakes ( Snowflake, Amazon Redshift, etc. )
- GitHub / GitLab
- Jenkins
- XML, JSON & REST APIs
- Data Pipeline Deployment on Cloud
- Structured & Unstructured Data Processing
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management
- Graduation is Mandatory
- PAN Card & Date of Birth are required for employee profile creation.
- Former and/or Current TCS/Tata Employees are NOT eligible.
- Strong understanding of enterprise data architecture
Nice to have
- Hadoop
- R Shiny
- Python App Development
- Agile Methodologies
- Data Visualization
- Python or R Certification
Education
- Bachelor's Degree in:
- Computer Science
- Statistics
- Mathematics
- Biostatistics
- Biology
- Health-related disciplines
- Or equivalent relevant experience
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Job application FAQ
Last updated 6 November 2026
- How do I apply for Now | Data Engineer | PAN India | Up to ₹17 LPA @ Industry's one of Largest MNC at Gratitude Inc?
- 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. Gratitude Inc may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Now | Data Engineer | PAN India | Up to ₹17 LPA @ Industry's one of Largest MNC 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 Now | Data Engineer | PAN India | Up to ₹17 LPA @ Industry's one of Largest MNC remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Now | Data Engineer | PAN India | Up to ₹17 LPA @ Industry's one of Largest MNC role at Gratitude Inc?
- This is a mid-level Now | Data Engineer | PAN India | Up to ₹17 LPA @ Industry's one of Largest MNC role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.