Cognizant Data Engineer / Data Architect

Job Overview

Cognizant is hiring a Data Engineer / Data Architect in Kolkata for a hybrid Technology & Engineering role focused on cloud-based analytics solutions using PySpark and Databricks. The position covers scalable data pipelines, Databricks SQL optimization, data modeling, data quality, governance and production support.

Eligibility

Cognizant lists advanced PySpark and Databricks notebook engineering skills, strong Databricks SQL, solid data architecture principles such as dimensional modeling and data lake layering, disciplined development practices, and effective collaboration. Life and annuities insurance experience is useful when available. Databricks Data Engineer Associate and Azure Data Engineer or equivalent cloud data certifications are listed as good to have.

Skills Mentioned

Key Responsibilities

• 1Design and implement scalable PySpark data pipelines in Databricks
• 2Develop and optimize Databricks SQL queries and analytical data models
• 3Define data lake and warehouse structures, partitioning strategies and storage conventions
• 4Build data-quality checks and support governance, security and auditability requirements
• 5Tune processing workloads and troubleshoot production pipeline or schema issues
• 6Document architectures and collaborate with analysts, business stakeholders and application teams

Who Should Apply?

Experienced data engineering or data architecture professionals with strong hands-on PySpark and Databricks skills should review this role. The official Cognizant posting does not state a minimum number of years, so no experience figure has been inferred.

Quick eligibility check

Eligibility at a Glance

These values come from the verified job record. Re-check the employer page before applying because requirements can change.

Role breakdown

What This Role Involves

The official listing is for Data Engineer / Data Architect at Cognizant in Kolkata, West Bengal, India. Based on the published information, the main areas to review include PySpark, Databricks, Databricks SQL, Data architecture and dimensional modeling.

• Design and implement scalable PySpark data pipelines in Databricks
• Develop and optimize Databricks SQL queries and analytical data models
• Define data lake and warehouse structures, partitioning strategies and storage conventions

Employer information

About Cognizant on This Listing

Cognizant is the employer named on the official source used for this job. HD Careers verified this listing against careers.cognizant.com. This section only shows facts available from the verified job record.

No other active listings from this company are currently published on HD Careers.

Resume & interview focus

Skills to Demonstrate

Use these as evidence prompts, not as keywords to add without real experience.

• PySpark

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Databricks

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Databricks SQL

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Data architecture and dimensional modeling

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Data quality and governance

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

• Data lake / warehouse design

  This skill is mentioned for the role. If you include it on your resume, connect it to a real work, internship or project example you can explain.

Preparation

Before You Apply

• 1Review your hands-on examples for PySpark, Databricks, Databricks SQL.
• 2Prepare one clear example related to this responsibility: Design and implement scalable PySpark data pipelines in Databricks.
• 3Keep your employment dates, degree details and contact information consistent across your resume and the employer application form.
• 4Use the official employer page as the final source if any requirement, deadline or application step changes.

Common questions

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Source & Verification

Source: Official Cognizant India Careers job page

Last checked by HD Careers: 29 Sep 2026

Job information can change after publication. The employer's official page is the final source for eligibility, deadlines and application availability.

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