NTT DATA
Data Engineer (Remote, KA, IN)
Remote Data Engineer role with clear candidate location fit.
PostedJul 18, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
India
Role overview
Data Engineer (Remote, KA, IN)
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Key Responsibilities:
- Design and implement tailored data solutions to meet customer needs and use cases, spanning from streaming to data lakes, analytics, and beyond within a dynamically evolving technical stack.
Key Responsibilities:
- Provide thought leadership by recommending the most appropriate technologies and solutions for a given use case, covering the entire spectrum from the application layer to infrastructure.
Key Responsibilities:
- Demonstrate proficiency in coding skills, utilizing languages such as Python, Java, and Scala to efficiently move solutions into production while prioritizing performance, security, scalability, and robust data integrations.
Key Responsibilities:
- Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS.
Key Responsibilities:
- Develop and deliver detailed presentations to effectively communicate complex technical concepts.
Key Responsibilities:
- Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
Key Responsibilities:
- Adhere to Agile practices throughout the solution development process.
Key Responsibilities:
- Design, build, and deploy databases and data stores to support organizational requirements.
Basic Qualifications:
- 4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects.
Basic Qualifications:
- 2+ years of experience leading a team supporting data related projects to develop end-to-end technical solutions.
Preferred Skills:
- Demonstrate production experience in core data platforms such as Snowflake, Databricks, Azure.
Preferred Skills:
- Showcase professional written and verbal communication skills to effectively convey complex technical concepts.
- Develop and maintain ETL/ELT pipelines, queries, and transformations in Snowflake (and, as needed, Databricks notebooks or jobs) according to agreed design patterns and metadata driven data pipeline frameworks.
Preferred Skills:
- Implement medallion-layered data structures and reusable components that can be leveraged across multiple data products and domains.
Preferred Skills:
- Assist in onboarding new data sources, mapping source data to target models, and applying data quality and monitoring rules
Preferred Skills:
- Participate in daily standups, sprint ceremonies (if applicable), and ad hoc working sessions
Preferred Skills:
- Undergraduate or Graduate degree preferred
Similar roles
Keep a backup shortlist.
Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.