Senior Data Engineer

EXL

. Design, build, and maintain scalable data pipelines using Databricks and SQL .

Posted 9/19/2026full-timeGurugram • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data pipelines using Databricks and SQL, with a strong focus on ETL/ELT processes, data modeling, and performance optimization. Proficient in supporting BI initiatives with tools like Power BI and Tableau while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Data EngineeringSQL Query OptimizationDatabricks Data EngineeringETL/ELT FrameworksSnowflake

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLETLELTData ModelingData WarehousingPerformance TuningData Quality ControlsData PipelinesData TransformationTechnical Documentation

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills

Tools & Technologies

DatabricksPower BITableauSnowflakeAzureAWSGitHubCI/CD

Industry Keywords

Insurance Domain Experience

Tech Stack

Tools & technologies

AWSAzureCloudETLSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines using Databricks and SQL
Develop ETL/ELT processes for ingesting and transforming data from multiple sources
Optimize SQL queries, stored procedures, and data transformations
Implement data quality controls, monitoring, and performance tuning
Create and maintain data models for reporting and analytics
Support BI initiatives using Power BI and Tableau
Work with Snowflake and cloud-based data platforms
Follow GitHub, CI/CD, and deployment best practices
Prepare technical documentation, data dictionaries, and solution designs
Collaborate with stakeholders, analysts, architects, and business teams
Mentor junior engineers and participate in code reviews
Lead technical discussions and contribute to architectural decisions

Requirements

What you’ll need

6-7+ years of experience in Data Engineering
Strong expertise in SQL and query performance optimization
Hands-on experience with Databricks Data Engineering
Strong understanding of ETL/ELT frameworks and pipeline development
Knowledge of data warehousing and data modeling concepts
Experience with Snowflake and cloud platforms (Azure/AWS) preferred
Familiarity with Power BI and Tableau
Strong analytical, problem-solving, and communication skills
Insurance domain experience preferred but not mandatory
Immediate joiners or candidates with up to 30 days notice period preferred