Engineer Computer Systems Support

Tata Consultancy Services Limited; San Jose (CA); On-site; USD 80,000 - 115,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Family Support & Leaves

Commuter Benefits & Training Reimburse

Job summary

Tata Consultancy Services Limited in San Jose, CA is seeking a data engineering professional to design and implement end-to-end data solutions. You will work with stakeholders to understand analytics needs and translate them into scalable pipelines using PySpark, Delta Tables, and data warehouse technologies.

The role emphasizes collaboration across teams, adherence to governance, and ongoing modernization initiatives with Microsoft Fabric, ADF, and BI tools.

Qualifications

• Must have technical/functional skills in data engineering, Azure and SQL.
• Experience designing end-to-end data pipelines and data lakehouse architectures.

Responsibilities

• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Design and develop data pipelines using PySpark, SQL, and Delta Tables.
• Build Lakehouse and Data Warehouse solutions for reporting and AI workloads.
• Define data models, governance, and performance optimization strategies.
• Support CI/CD, code reviews, and production deployments.

Skills

PySpark

Data Warehouse

Data Modelling

Big Data Platforms

Data Engineering

CI/CD

Communication

Cross Team Collaboration

Azure DevOps

Git

Advanced SQL

Tools

Azure Data Factory

Azure DevOps

Git

Hightouch

Braze

Job description

Job Description

Must Have Technical/Functional Skills

Digital : PySpark; Data Warehouse; Data Concepts & Data Modelling; Digital : Big Data Platforms; Data Engineering; Azure Data Factory; Continuous Integration and Continuous Delivery (CI/CD); Communication Skills and Cross Team Collaboration Skills; Azure DevOps; Git; Advanced SQL

Roles & Responsibilities

• Collaborate with business stakeholders to understand data, analytics, and reporting requirements and translate them into scalable technical solutions.
• Design and develop end-to-end data solutions using Microsoft Fabric, ADF, OneLake, Lakehouse, and Data Warehouse, including scalable data pipelines using PySpark and SQL and Medallion Architecture (Bronze, Silver, Gold) with Delta Tables.
• Build and optimize Lakehouse and Data Warehouse solutions for reporting, analytics, and AI workloads.
• Define data models, data quality standards, governance, security and performance optimization strategies.
• Provide technical consulting and best practices for Microsoft Fabric adoption, migration, and modernization initiatives.
• Design and implement customer data platform (CDP) solutions including customer profile unification, identity resolution, audience segmentation and real-time data activation using Hightouch and Braze.
• Collaborate with cross-functional teams, including data engineers, architects, analysts and business stakeholders to deliver high-quality data solutions.
• Support CI/CD implementation, code reviews, testing, deployment, and production support using Azure DevOps and Git.
• Prepare technical documentation, solution designs and implementation guidelines.
• Stay current with Microsoft Fabric, Azure data technologies, and industry best practices to drive continuous innovation.

Generic Managerial Skills, If any

Hightouch; Braze; Customer Data Platforms (CDP); Digital : Microsoft Power BI; PL/SQL; Microsoft Power BI; Prior Experience with Threat Modelling and SDL Assessments

Specific Requirement

• Heavy customer facing experience.
• Should be able to work in agile manner with the customer & stakeholders.
• Strong analytical skills
• Excellent troubleshooting and problem-solving skills
• Ability to work in a fast paced, agile environment
• Experience working within a geographically dispersed team and flexibility for coordinating between teams.
• Excellent Communication skills, communicate effectively and proactively with partner teams in order to solve problems
• Good Presentation Skills

TCS Employee Benefits Summary:

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Opti ons: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $80,000 - $115,000 a year

#LI-NS4

Location: San Jose, CA

Function: TECHNOLOGY

Role: Engineer

ID: 432915

Skills: Azure | Python

Salary Range: $80,000 - $115,000