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Information Technology Support Services · 1 to 50 Employees · Cochin, India
1 open role1 posted in 7d1 in 30d
Work-life balance 4.9Compensation & benefits 4.6Culture & values 5.0
Hiring: Engineering
What employees say
+ They have a really good work culture
− Sometimes the work can be hectic
More reviews on the company profile.
Interview experience · Product Marketing Specialist
It was a very smooth experience, I got the first call, and offer within a week itself. The founders, and interviewers were very nice and seemed like a great fir
Average difficulty · India · 24 reports
More interview insightsJob description
Overview
Functional Reporting
Responsibilities
- 5 Year(s) , Maximum: 8 Year(s)
- Design, implementation, and management of data platform, data pipelines to help fulfill data access and aggregation functionality for users in cloud environment.
- Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL).
- Integrate data from various sources, ensuring data quality and consistency.
- Identify and implement process improvements to enhance data reliability, efficiency, and quality.
- Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs.
- Monitor data pipelines and systems, troubleshoot issues, and ensure data integrity.
- Maintain comprehensive documentation of data processes and systems
- 3-5 years of experience in data engineering or a related field.
- Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks.
- Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc.
Qualifications
- Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines for data extraction, transformation, and loading (ETL).
- Optimize Data Systems: Identify and implement process improvements to enhance data reliability, efficiency, and quality.
- Collaborate with Teams: Work with data scientists, analysts, and other stakeholders to support their data infrastructure needs.
- Technical Skills: Proficiency in Py-Spark (Must Have), SQL, Python, and data platform like Databricks.
- Storage Management: Experience in storage mechanism in AWS S3, Layers of Medallion Architecture, OTF like Delta, iceberg etc., Hand-Ons in Data schema like Star, snowflake etc.
- Good knowledge next generation ETL/ELT tools and data consolidation frameworks that enable capabilities within the data ecosystem.
- Ability to work independently or within a team, proactively, in a fast-paced AGILE-SCRUM environment.
- Desired but not essential:
- Exposure to automotive data.
- Behavioral competencies :
- Effective team player.
- Study industry trends (global and domestic) and apply it in work-area.
- Co-ordinate department activities and represent department / MSIL in forums.
- Good communication and presentation skills.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Data Engineer - MSIL at ZappyHire?
- 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. ZappyHire may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer - MSIL 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 Engineer - MSIL remote or on-site in Gurugram, Haryana (+1 other)?
- This listing is marked on_site with location Gurugram, Haryana (+1 other). Confirm details on the job description before applying.
- What skills matter for this Data Engineer - MSIL role at ZappyHire?
- This is a mid-level Data Engineer - MSIL role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.