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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data engineering with a strong focus on developing and optimizing ETL/ELT data pipelines using Python, PySpark, and Databricks on AWS. Proven ability to lead architectural design, ensure data quality, and implement data governance best practices.
Highest-signal resume keywords
Data Engineering ExpertiseDatabricks & DBT ProficiencyAWS Data Services ExperienceTerraform & Airflow KnowledgeSQL + Python Skills
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Develop, test, and maintain high-quality, scalable ETL/ELT data pipelines using Python, PySpark, and Databricks on AWS
- Lead development of new data features and services across the full product lifecycle, from architectural design to deployment
- Use Terraform, Spark Structured Streaming, and DLT
- Create CI/CD-controlled data engineering deployments using Databricks Asset Bundles
- Leverage Databricks serverless compute and cost optimization techniques to deliver performant data products
- Collaborate with Product Managers, Data Scientists, and fellow engineers in an agile team
- Ensure data quality, integrity, and security throughout the data lifecycle
- Implement data governance best practices
- Take technical ownership of major data platform architecture components
- Lead design discussions and ensure systems are secure, scalable, and maintainable
- Analyze workloads, queries, clusters/warehouses, jobs, and services to identify inefficiencies and savings opportunities
- Implement continuous monitoring and intelligence dashboards for cost and performance optimization
- Track new Snowflake and Databricks features and translate them into product differentiators
- Spend approximately 70% of time on data engineering projects and 30% on data operations
Requirements
What you’ll need- Extensive experience with data engineering
- DataBricks & DBT (Mandatory)
- Proven expertise with Databricks clusters, jobs, Delta Lake, Spark optimization, autoscaling, and Unity Catalog
- Strong SQL + Python skills for automation, monitoring, and recommendation logic
- Experience working with AWS data services
- Experience with Terraform & Airflow
- Track record of delivering performance gains and cost savings through platform-level optimizations
- Hands-on, automation-driven, customer-value-obsessed startup mindset
- Databricks Certification (preferred but not mandatory)
- Familiarity with SOC2 and GDPR compliance frameworks (preferred but not mandatory)
- Knowledge of LLMs and AI frameworks (preferred but not mandatory)
Benefits
Comp & perks- Flexibility to work in a Hybrid model (3 days in-office)
- Annual and Sick Leaves
- Paid Birthday, Study and Volunteering Leaves every year
- Medical Insurance Cover
- Employee Referral Bonus
- Tenure Bonus
- Team Events & Celebrations
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL/ELT DevelopmentPython ProgrammingPySparkSQLDatabricksSpark OptimizationData GovernanceCost OptimizationAutomationData Quality Assurance
Soft Skills
CollaborationLeadershipAgile MindsetCustomer-Value Focused
Tools & Technologies
Databricks Asset BundlesTerraformAirflowSpark Structured StreamingDelta LakeUnity CatalogCI/CDMonitoring DashboardsServerless ComputeData Pipelines
Certifications & Qualifications
Databricks Certification
Industry Keywords
SOC2 ComplianceGDPR ComplianceData Lifecycle ManagementData Platform ArchitecturePerformance Optimization