We are currently seeking a Data Engineer Advisor to join our team in Pune.

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 qualified 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.
- Undergraduate or Graduate degree preferred.

📌 Data Engineer Advisor (Pune)
🏢 NTT DATA Business Solutions
📍 Pune