Data Engineer

Tech Mahindra

. Build robust base tables, views, and data pipelines supporting large-scale analytics .

Posted 10/14/2026full-timeRemote • United StatesMid-LevelSenior💰 $110,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data pipelines, optimizing data workflows, and delivering analytics solutions. Proficient in SQL, Python, and Google’s data ecosystem for effective data processing and visualization.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL Query OptimizationPython Scripting with Pandas/NumPyETL/ELT AutomationGoogle Cloud Data Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DesignETL AutomationData ManipulationData ValidationPerformance-Tuned QueriesAnalytical FunctionsSelf-Service DashboardsKPI Definition

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

Looker StudioPLX DashboardsGoogle CloudPiperCider

Industry Keywords

Data EngineeringAnalytics EngineeringData AnalyticsLarge-Scale Data ProcessingBusiness Intelligence

Tech Stack

Tools & technologies

CloudETLLinuxNumpyPandasPythonShell ScriptingSQL

About the role

Key responsibilities & impact

Build robust base tables, views, and data pipelines supporting large-scale analytics
Write, execute, and maintain automated scripts to process datasets, interact with APIs, and streamline data workflows
Connect multi-source datasets, define metrics/KPIs, optimize load times, and deliver visual analytics to business stakeholders
Design, schedule, and monitor robust data pipelines for scalable data ingestion, transformation, and distribution
Configure, execute, and maintain data processing pipelines to ensure seamless workflow integration and reliability
Partner with business stakeholders, engineers, analysts, and product teams to deliver reliable and scalable data solutions
Support large-scale data processing, analytics, reporting, and automation initiatives

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Data Analytics, or a related technical field, or equivalent professional experience
4 or more years of hands-on experience as a Data Engineer, Analytics Engineer, or Data Analyst
Experience working within Google's ecosystem
Experience writing complex, performance-tuned SQL queries, analytical functions, CTEs, and window functions
Experience with Python for scripting, data manipulation using Pandas/NumPy, basic ETL automation, and data validation
Experience designing interactive, self-service dashboards and business intelligence reporting using Looker Studio / PLX Dashboards
Experience with automated ETL/ELT scheduling and workflow orchestration within Google's data environment
Familiarity with Google internal distributed execution and data pipeline frameworks such as Piper
Experience with Google internal code editing and cloud development tools such as Cider
Understanding of Linux command-line interfaces, directory navigation, file operations, shell scripting, and automated cron jobs or background data processing tasks

Benefits

Comp & perks

Equal Employment Opportunity employer
Reasonable accommodations available in the hiring process for applicants with disabilities
Culture of driving positive change, celebrating each moment, and empowering all to Rise