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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing ETL/ELT pipelines using Apache Spark and Delta Lake across cloud platforms, with a strong focus on automation, data security, and compliance. Proven ability to collaborate with cross-functional teams to translate data requirements into actionable business outcomes.
Highest-signal resume keywords
Apache SparkDelta LakeDatabricksPythonCI/CD
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across AWS, Azure, and GCP
- Implement scalable Lakehouse architectures processing structured and unstructured data at enterprise scale
- Automate data ingestion, storage, and feature engineering workflows for analytics and real-time AI workloads
- Tune Spark jobs for low latency, high throughput, and cloud cost-efficiency
- Partner with ML engineers and data scientists to operationalize AI models in Databricks using MLflow
- Implement CI/CD pipelines and Infrastructure-as-Code using Terraform and Databricks CLI
- Enforce enterprise data security, access controls, and compliance standards including GDPR, HIPAA, and SOC 2
- Collaborate with client tech leaders, product managers, and engineering teams to translate AI data requirements into business outcomes
- Author technical documentation
- Lead solution handoffs to client engineering teams
Requirements
What you’ll need- 3+ years in cloud-native data engineering
- 2+ years of dedicated, hands-on Databricks, Apache Spark, Delta Lake, and MLflow experience
- High proficiency in Python, SQL, Spark frameworks, CI/CD, and Infrastructure-as-Code (Terraform or Databricks CLI)
- Proven track record operating in fast-paced Agile/DevOps consulting environments
- Experience delivering cloud-agnostic architectures
- Exceptional client communication
- Active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred
Benefits
Comp & perks- Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
- Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.
- Equal opportunity workplace
- Reasonable accommodation for individuals with disabilities
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 PipelinesELT PipelinesData IngestionFeature EngineeringCloud Cost-EfficiencyAgileDevOpsInfrastructure-as-CodeSQLMachine Learning
Soft Skills
Client CommunicationCollaborationTechnical Documentation
Tools & Technologies
AWSAzureGCPTerraformDatabricks CLIMLflow
Certifications & Qualifications
Databricks Certified Data EngineerDatabricks ML Professional
Industry Keywords
GDPRHIPAASOC 2Lakehouse ArchitectureCloud-Agnostic Architectures