Automation Support Engineer

TP; Mumbai; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

WFO

5 Days working

2 Fixed Week-offs

Job summary

TP is seeking a results-driven data automation specialist to design, develop, and maintain automation scripts in Python and R, enabling the Ops team to act on analytics-driven insights. You will manage data from CSV/TXT files, perform complex SQL queries in BigQuery, and ensure deployments across Dev, QA, Staging, and Prod are stable.

Proficiency in MS Excel, PowerPoint, and Word is essential. The role focuses on turning technical data into actionable business insights, maintaining data quality,

Qualifications

• Strong, proven experience programming in Python and R for automation and data analysis.
• Hands-on proficiency with Google BigQuery and writing complex SQL queries to manage large-scale data.
• Solid understanding of SDLC and working across Dev, Test, Prod environments.

Responsibilities

• Automation; Scripting: Design, develop, and maintain automation scripts using Python and R to eliminate manual tasks and improve workflow efficiency.
• Data Management & Analysis: Use BigQuery to extract, manipulate, and analyze large datasets to support strategic decisions by the Ops team.
• Environment Management: Support deployments across Development, QA, Staging, Production ensuring stability and seamless transitions.
• Operational Excellence: Partner with Operations to identify bottlenecks, streamline processes, and implement continuous improvement initiatives.
• Reporting & Documentation: Translate data and automation metrics into clear executive-ready reports using MS Excel, PowerPoint, and MS Word.
• Data Quality & Architecture: Transform raw CSV/TXT files into analytics-ready datasets with automated validation and standardization.

Skills

Python

R

Data analysis

Automation

Problem solving

Tools

Google BigQuery

SQL

MS Excel

MS PowerPoint

MS Word

Job description

You will be responsible for developing automation solutions, analyzing complex datasets, and ensuring smooth transitions

across various deployment environments. The ideal candidate is a problem-solver who can translate technical data into

actionable insights for the business.

Roles and Responsibilities

• Automation; Scripting: Design, develop, and maintain automation scripts using Python and R to eliminate manual operational tasks and improve workflow efficiency.
• Data Management & Analysis: Utilize Big Query to extract, manipulate, and analyze large datasets, providing the Ops team with the data necessary to make informed, strategic decisions.
• Environment Management: Support and troubleshooting deployments across multiple environments (e.g., Development, QA, Staging, Production), ensuring stability and seamless transitions.
• Operational Excellence: Partner closely with the Operations team to identify bottlenecks, streamline processes, and implement continuous improvement initiatives that drive operational excellence.
• Reporting & Documentation: Translate complex data sets and automation metrics into clear, executive-ready reports and presentations using MS Excel, PowerPoint, and MS Word.
• Data Quality & Architecture: Transform disparate raw files (CSV, TXT) into structured, analytics-ready datasets. Implement automated data validation, standardization, and quality checks to support downstream business intelligence and reporting.

Required Experience

• Technical Proficiency: Strong, proven experience programming in Python and R for automation and data analysis.
• Database & Cloud: Hands-on proficiency with Google Big Query and writing complex SQL queries to manage large- scale data.
• Environment Lifecycle: Solid understanding of software development life cycles and experience working across different deployment environments (Dev, Test, Prod).
• Business Tools: Advanced proficiency in the Microsoft Office Suite, specifically MS Excel (complex formulas, pivot tables, macros), MS PowerPoint (executive presentations), and MS Word (technical documentation).
• Problem-Solving: Analytical mindset with a strong focus on continuous improvement and achieving operational efficiency.

WFO

5 Days working

2 Fixed Week-offs