Data Engineer Advisor

NTT DATA BUSINESS SOLUTIONS; Pune District; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS in Pune, India, invites a Data Engineer Advisor to join our team. The role covers designing and implementing data solutions across streaming, lakes, and analytics, while guiding technology choices from the application layer to the infrastructure.

You will lead data-related projects, develop production-grade pipelines using Python/Java/Scala, and collaborate across Cloudera, Databricks, Snowflake, and AWS. Strong communication and documentation skills are essential.

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.
• Strong written and verbal communication skills and ability to convey complex technical concepts.

Responsibilities

• Design and implement tailored data solutions spanning streaming, data lakes, analytics and more.
• Provide thought leadership by recommending technologies and solutions for each use case from application to infrastructure.
• Develop and productionize data solutions using Python, Java or Scala with a focus on performance, security and scalability.
• Collaborate across stacks including Cloudera, Databricks, Snowflake and AWS.
• Create detailed solution documentation such as sequence diagrams and logical system views.
• Adhere to Agile practices through the development lifecycle and standups.
• Design, build and deploy databases and data stores to meet organizational needs.

Skills

Python

Java

Scala

Team leadership

Communication skills

Education

Bachelor's degree or higher

Tools

Snowflake

Databricks

Azure

AWS

Cloudera

Job description

Job Summary

We are currently seeking a Data Engineer Advisor to join our team in Pune, Mahrshtra (IN-MH), India (IN).

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 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.
• 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