Data Engineering-Python

Birlasoft; Pune District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Birlasoft is seeking an experienced Data Engineer for its Service Assurance function. You will design, develop, and maintain data reporting platforms, dashboards, and analytical tooling across BI, Snowflake Cortex, and AI-assisted environments.

You will build scalable data pipelines, craft insightful dashboards, and leverage tools like Claude and CoPilot to automate insights and improve data interpretation for diverse stakeholders.

Qualifications

• Proven Data Engineer or similar role with BI/Analytics focus.
• Experience with Snowflake Cortex for advanced analytics.
• Strong SQL skills for large datasets and performance optimization.

Responsibilities

• Design, build, and maintain robust data analytic reports and processes to support Service Assurance reporting and analytics needs.
• Develop and publish reports and dashboards in BI tools (Power BI, Snowflake Cortex, Tableau or equivalent).
• Work within Snowflake Cortex to create, optimise, and manage data models, queries, and analytical workflows.
• Utilise Claude (Anthropic) and other AI-assisted tools to automate reporting, generate data summaries, and produce actionable interpretations of complex datasets.
• Write and maintain SQL scripts, Python scripts, and LLM prompts to support data extraction, transformation, and analysis tasks.
• Perform trend analysis and data storytelling, interpreting data and communicating findings clearly to technical and non-technical audiences.
• Collaborate with stakeholders to understand reporting requirements and translate business questions into data solutions.

Skills

Snowflake Cortex

SQL

Power BI

Tableau

ETL pipelines

Python

LLM prompts

AI-assisted reporting

Tools

Snowflake

Power BI

Tableau

Looker

Claude (Anthropic)

CoPilot

Job description

About Birlasoft Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

Area(s) of responsibilityAbout Birlasoft Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose. Job Title: Data Engineer Department: Service Assurance Role Overview We are seeking an experienced Data Engineer to join our Service Assurance function. This role is central to the design, development, and maintenance of our data reporting platforms, and analytical tooling. The successful candidate will combine strong technical data engineering skills with the ability to interpret data and communicate meaningful insights. Working across our BI, Snowflake Cortex, and AI-assisted reporting environments, you will build scalable data pipelines, develop impactful dashboards and reports, and leverage tools including Claude (Anthropic) and CoPilot to enhance data interpretation and automate insight generation.Responsibilities

• Design, build, and maintain robust data analytic reports and processes to support Service Assurance reporting and analytics needs.
• Develop and publish reports and dashboards in Business Intelligence tools (e.g. Power BI, Snowflake, Tableau, or equivalent), ensuring accuracy, usability, and performance.
• Work within Snowflake Cortex to create, optimise, and manage data models, queries, and analytical workflows.
• Utilise Claude (Anthropic) and other AI-assisted tools to automate reporting, generate data summaries, and produce actionable interpretations of complex datasets.
• Write and maintain SQL scripts, Python scripts, and LLM prompts to support data extraction, transformation, and analysis tasks.
• Perform trend analysis and data storytelling, not just producing reports, but interpreting what the data means and communicating findings clearly to technical and non-technical audiences.
• Collaborate with stakeholders to understand reporting requirements and translate business questions into data solutions.

Essential Skills & Experience

• Proven experience as a Data Engineer or in a closely related data role (e.g. BI Developer, Analytics Engineer).
• Hands-on experience with Snowflake, including Snowflake Cortex for advanced analytics and AI-powered SQL functions.
• Strong proficiency in SQL — writing complex queries, optimising performance, and working with large datasets.
• Experience developing reports and dashboards in BI platforms such as Power BI, Tableau, Looker, or equivalent.
• Proven experience designing and optimizing ETL pipelines and data architectures, with demonstrable focus on performance and cost efficiency.
• Practical experience using AI tools such as Claude (Anthropic) for data interpretation, prompt engineering, and automated reporting workflows.
• Ability to write and maintain Python scripts for data processing, automation, and analysis.
• Experience creating and refining LLM prompts to extract structured insight from unstructured data or to automate narrative reporting.
• Strong analytical mindset — able to interpret what data trends and patterns mean in a business context, not just produce numbers.
• Proven ability to present data findings clearly to both technical and non-technical stakeholders.