Data Engineer

Innova ESI

Mumbai

On-site

INR 1,500,000 - 2,200,000

Full time

4 days ago
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Job summary

Innova ESI Pvt Ltd is seeking a technically strong Data Engineer to join a larger delivery team in India. The role focuses on designing and promoting fit-for-purpose database solutions while providing reliable support across non-production environments.

You will collaborate with application teams, contribute to data modeling, performance tuning, and gain exposure to cloud platforms like AWS or GCP.

Qualifications

  • 5-7 years of experience in data engineering or related roles.
  • Hands-on with PostgreSQL or major NoSQL platforms (Cassandra, MongoDB, Couchbase).
  • Experience supporting database solutions for application teams.
  • Familiar with relational and NoSQL data modelling and schema design.
  • Experience in Agile delivery environments and CI/CD.
  • Exposure to cloud platforms (AWS or GCP).

Responsibilities

  • Understand data and database requirements with application and engineering teams.
  • Design, build and promote database solutions across development, test and non-production environments.
  • Provide day-to-day non-production database support, including troubleshooting and resolution of issues.
  • Implement database changes following engineering practices, release processes and team standards.
  • Support data modelling, schema design, database configuration and performance tuning.
  • Participate in team ceremonies, technical discussions and knowledge-sharing sessions.
  • Maintain clear technical documentation for database designs and handovers.
  • Develop capability in new database, cloud and engineering technologies.

Skills

Data engineering
Database modeling
Cloud platforms (AWS/GCP)
CI/CD

Tools

PostgreSQL
Cassandra
MongoDB
Couchbase
AWS
GCP
CI/CD pipelines

Job description

We are seeking a technically strong Data Engineer to join a larger delivery team in India. The role will focus on working with application teams to design and promote fit-for-purpose database solutions, while providing reliable support across non-production environments. The successful candidate will be comfortable delivering assigned tasks, collaborating within a multidisciplinary team and learning new technologies as the platform evolves.

Key Responsibilities
  • Work with application and engineering teams to understand data and database requirements.
  • Contribute to the design, build and promotion of database solutions across development, test and other non-production environments.
  • Provide day-to-day non-production database support, including investigation, troubleshooting and resolution of assigned issues.
  • Implement database changes in line with agreed engineering practices, release processes and team standards.
  • Support data modelling, schema design, database configuration and performance-related activities as required.
  • Participate actively in team ceremonies, technical discussions, peer reviews and knowledge-sharing sessions.
  • Maintain clear technical documentation for database designs, changes, support procedures and operational handovers.
  • Develop capability in new database, cloud and engineering technologies relevant to the programme.
Essential Skills and Experience
  • 5-7 years of relevant experience in data engineering, database engineering or database development/support roles.
  • Strong hands-on knowledge of PostgreSQL or a major NoSQL platform such as Cassandra, MongoDB or Couchbase.
  • Practical experience supporting database solutions used by application teams.
  • Understanding of relational and/or NoSQL data modelling, schema design and data access patterns.
  • Experience working across development, test or other non-production environments.
  • Strong troubleshooting, analytical and problem-solving skills.
  • Ability to work effectively as part of a larger team and deliver tasks to agreed quality and timelines.
  • Willingness and ability to learn new technologies.
  • Exposure to AWS or Google Cloud Platform (GCP).
  • Experience with automation, scripting, CI/CD pipelines or infrastructure-as-code practices.
  • Familiarity with distributed data platforms, database observability, security or performance tuning.
  • Experience working in Agile delivery teams.
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