Role & responsibilities

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.
- 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.
- 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.
- Collaborate seamlessly across diverse technical stacks, including Cloudera, Databricks, Snowflake, and AWS.
- Develop and deliver detailed presentations to effectively communicate complex technical concepts.
- Generate comprehensive solution documentation, including sequence diagrams, class hierarchies, logical system views, etc.
- Adhere to Agile practices throughout the solution development process.
- 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.




- 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.
- Showcase skilled 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.
- Implement medallion-layered data structures and reusable components that can be leveraged across multiple data products and domains.
- Assist in onboarding new data sources, mapping source data to target models, and applying data quality and monitoring rules
- Participate in daily standups, sprint ceremonies (if applicable), and ad hoc working sessions

Preferred candidate profile

Immediate joiners are preferred

Available to work on rotational shift

Open to work in hybrid mode

Perks and benefits

Interested candidates kindly share your updated resume to [email protected]

📌 NTT Data- Job Opening For Data engineer (Hyderabad)
🏢 NTT DATA
📍 Hyderabad