Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
IQVIA

Senior Developer, Snowflake, Databricks

IQVIA

Snowflake and Databricks developer building scalable Azure data pipelines for IQVIA’s healthcare intelligence business. Optimizing analytics, reporting, governance, and enterprise data solutions.

Posted 8/25/2026full-timeGurugram • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and optimizing large-scale cloud data pipelines using Databricks and Snowflake, with a strong focus on performance tuning, ELT development, and data integration. Proficient in collaborating with stakeholders to gather requirements and ensure compliance with governance and security standards.

Highest-signal resume keywords
DatabricksSnowflake SQLPySparkData EngineeringETL/ELT Development

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
Databricks NotebooksSnowflake Performance TuningDelta LakeSpark SQLData TransformationComplex JoinsWindow FunctionsMaterialized ViewsData Warehousing ConceptsCloud Data Architecture
Soft Skills
Analytical AbilitiesProblem-SolvingCommunicationStakeholder ManagementCollaboration
Tools & Technologies
Azure Data FactorySynapseADLSGitHub ActionsCI/CD
Certifications & Qualifications
Bachelor's Degree in Computer ScienceInformation Technology
Industry Keywords
Cloud Data PipelinesGovernanceSecurity Best PracticesRBACAgile Teams

Tech Stack

Tools & technologies
AzureCloudETLPySparkSparkSQL

About the role

Key responsibilities & impact
  • Design, develop, optimize, and maintain large-scale cloud data pipelines across Databricks and Snowflake
  • Develop and optimize Databricks Notebooks, Workflows, Jobs, PySpark applications, data transformations, and Delta Lake tables
  • Develop and optimize Snowflake SQL, including complex joins, window functions, and CTEs
  • Build and manage Snowflake pipelines using Stages, File Formats, COPY, and Snowpipe
  • Implement Streams, Tasks, and Materialized Views for automated ELT workflows
  • Perform Snowflake performance tuning, virtual warehouse optimization, and cost governance
  • Design and build ETL/ELT pipelines integrating Databricks, Snowflake, Azure Data Factory, Spark, SQL, ADF, and Synapse
  • Integrate data from relational databases, APIs, file systems, and cloud platforms
  • Align solutions with enterprise data architecture and modeling standards
  • Document pipelines, workflows, data models, and architecture
  • Ensure compliance with governance, security, and regulatory standards
  • Gather data requirements from business stakeholders and convert them into technical solutions
  • Support BI, analytics, and downstream consumers
  • Debug Databricks notebooks, Spark jobs, and ADF pipelines
  • Troubleshoot Snowflake execution errors, warehouse performance problems, and ingestion failures
  • Perform root-cause analysis and implement preventive measures
  • Collaborate with data engineers, analysts, architects, and business stakeholders

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
  • 4+ years of experience in data engineering or big data development
  • 3+ years hands-on with Databricks, PySpark, and Azure Data Engineering
  • 3+ years hands-on with Snowflake, Snowflake SQL, and ELT development
  • Strong hands-on experience with Databricks, PySpark, Delta Lake, and Spark SQL
  • Experience with ADF, Synapse, and ADLS integrations
  • Expertise in Snowflake SQL, performance tuning, and warehousing
  • Experience with Snowpipe, Streams, Tasks, and orchestration via ADF/Synapse
  • Knowledge of RBAC, masking policies, and security best practices
  • Strong understanding of data warehousing concepts and cloud data architecture
  • Familiarity with CI/CD, Azure DevOps/GitHub Actions, and Git workflows
  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management
  • Ability to work independently and collaboratively in agile teams

Benefits

Comp & perks
  • Opportunities for professional growth
  • Continuous learning opportunities
  • Innovation-focused company culture
  • Teamwork-focused company culture