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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Databricks platform management, including workspace and cluster optimization, data governance with Unity Catalog, and the development of robust data pipelines using PySpark and Delta Lake. Proficient in implementing MLOps practices and CI/CD automation for data engineering workflows.
Highest-signal resume keywords
Databricks Platform ExperiencePySpark DevelopmentDelta Lake ArchitectureData Governance with Unity CatalogMLOps Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Databricks WorkspacesDelta Live TablesSQLSpark Performance TuningPythonCloud Data PlatformsData Pipeline DevelopmentBatch and Real-Time ProcessingFeature EngineeringData Quality Management
Tools & Technologies
AzureAWSGCPKafkaMLflowTerraformFivetranDbtAirbyteUnity Catalog
Industry Keywords
Data EngineeringBig Data EngineeringDistributed ComputingCloud NetworkingData GovernanceMetadata ManagementData LineageCI/CDMLOpsGenerative AI
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformKafkaPySparkPythonSparkSQLTerraformUnity
About the role
Key responsibilities & impact- Design, build, and maintain Databricks workspaces, clusters, and compute pools across development, testing, and production environments
- Configure and manage Unity Catalog for data governance, access control, permissions, metadata management, and data lineage
- Optimize Databricks clusters, compute pools, Spark applications, queries, and cloud costs
- Create and manage Databricks Jobs, Workflows, pipelines, and orchestration dependencies
- Design Delta Lake tables and maintain Bronze, Silver, and Gold Medallion Architecture layers
- Develop batch and real-time pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Lake
- Build streaming ingestion pipelines from Kafka, Azure Event Hubs, and other platforms
- Implement error handling, retries, logging, monitoring, and dead-letter queue patterns
- Manage MLflow experiments, model registries, model lifecycles, training, inference, and serving workloads
- Develop feature engineering pipelines and enable Generative AI solutions including RAG, vector search, LLM fine-tuning, and Mosaic AI
- Implement MLOps practices including model versioning, deployment, A/B testing, and Databricks Model Serving
- Develop CI/CD pipelines and automate infrastructure using Databricks Asset Bundles, Terraform, and IaC
- Build ingestion frameworks using Auto Loader, COPY INTO, Fivetran, dbt, and Airbyte
- Implement security, governance, data quality, cataloging, metadata management, and lineage
- Prepare technical documentation, architecture diagrams, runbooks, and standard operating procedures
Requirements
What you’ll need- Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, or a related field
- 6+ years of total experience in data engineering or software engineering
- 3+ years of hands-on Databricks platform experience in production environments
- Strong background in big data engineering, cloud data platforms, and distributed computing
- Expertise in Databricks Workspaces, Clusters, Jobs, Workflows, and Repos
- Proficiency with Unity Catalog, including metastore setup, catalog/schema/table management, access controls, and lineage
- Hands-on Delta Live Tables experience, including pipeline development, expectations, and monitoring
- Strong knowledge of Delta Lake internals, transaction logs, ACID guarantees, file layout, and optimization
- Experience with Databricks SQL Warehouses, SQL Analytics, and dashboard creation
- Knowledge of Photon Engine, serverless compute, and cost optimization
- 4+ years of PySpark development
- Expert-level SQL, including window functions, lateral joins, CTEs, recursive queries, and analytical functions
- Spark performance tuning experience, including AQE, query plans, partitioning, and caching
- Proficiency with Python for pipeline development, utilities, and automation
- Hands-on experience with Azure, AWS, or GCP data platforms
- Experience with cloud networking, including VNet/VPC injection, private endpoints, and firewall configurations
- Familiarity with IAM roles, managed identities, and service principal authentication
- Nice to have: MLflow, ML pipelines, Databricks Feature Store, and Mosaic AI/GenAI experience
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
- Insurance
- Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Lead Assistant Manager 🔥 1 minute ago 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 👔 Manager Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, build, and maintain Databricks workspaces, clusters, and compute pools across development, testing, and production environments
- Configure and manage Unity Catalog for data governance, access control, permissions, metadata management, and data lineage
- Optimize Databricks clusters, compute pools, Spark applications, queries, and cloud costs
- Create and manage Databricks Jobs, Workflows, pipelines, and orchestration dependencies
- Design Delta Lake tables and maintain Bronze, Silver, and Gold Medallion Architecture layers
- Develop batch and real-time pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Lake
- Build streaming ingestion pipelines from Kafka, Azure Event Hubs, and other platforms
- Implement error handling, retries, logging, monitoring, and dead-letter queue patterns
- Manage MLflow experiments, model registries, model lifecycles, training, inference, and serving workloads
- Develop feature engineering pipelines and enable Generative AI solutions including RAG, vector search, LLM fine-tuning, and Mosaic AI
- Implement MLOps practices including model versioning, deployment, A/B testing, and Databricks Model Serving
- Develop CI/CD pipelines and automate infrastructure using Databricks Asset Bundles, Terraform, and IaC
- Build ingestion frameworks using Auto Loader, COPY INTO, Fivetran, dbt, and Airbyte
- Implement security, governance, data quality, cataloging, metadata management, and lineage
- Prepare technical documentation, architecture diagrams, runbooks, and standard operating procedures 🎯 Requirements
- Bachelor’s or master’s degree in computer science, Information Technology, Data Engineering, or a related field
- 6+ years of total experience in data engineering or software engineering
- 3+ years of hands-on Databricks platform experience in production environments
- Strong background in big data engineering, cloud data platforms, and distributed computing
- Expertise in Databricks Workspaces, Clusters, Jobs, Workflows, and Repos
- Proficiency with Unity Catalog, including metastore setup, catalog/schema/table management, access controls, and lineage
- Hands-on Delta Live Tables experience, including pipeline development, expectations, and monitoring
- Strong knowledge of Delta Lake internals, transaction logs, ACID guarantees, file layout, and optimization
- Experience with Databricks SQL Warehouses, SQL Analytics, and dashboard creation
- Knowledge of Photon Engine, serverless compute, and cost optimization
- 4+ years of PySpark development
- Expert-level SQL, including window functions, lateral joins, CTEs, recursive queries, and analytical functions
- Spark performance tuning experience, including AQE, query plans, partitioning, and caching
- Proficiency with Python for pipeline development, utilities, and automation
- Hands-on experience with Azure, AWS, or GCP data platforms
- Experience with cloud networking, including VNet/VPC injection, private endpoints, and firewall configurations
- Familiarity with IAM roles, managed identities, and service principal authentication
- Nice to have: MLflow, ML pipelines, Databricks Feature Store, and Mosaic AI/GenAI experience Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Duty Manager 🔥 21 hours ago Hewlett Packard Enterprise 10,000+ employees 🏢 Enterprise 🔧 Hardware ☁️ SaaS Website LinkedIn All Job Openings Duty Manager overseeing escalated network incidents for HPE Aruba’s intelligent-edge networking solutions. Coordinating technical teams, executive communications, root-cause analysis, and issue resolution. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 👔 Manager Duty Manager 🔥 21 hours ago Hewlett Packard Enterprise 10,000+ employees 🏢 Enterprise 🔧 Hardware ☁️ SaaS Website LinkedIn All Job Openings Duty Manager overseeing escalated network incidents for HPE, a global edge-to-cloud technology company. Coordinating technical teams, executives, and customers through resolution and post-incident analysis. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 👔 Manager Duty Manager 🕒 Yesterday Hewlett Packard Enterprise 10,000+ employees 🏢 Enterprise 🔧 Hardware ☁️ SaaS Website LinkedIn All Job Openings Duty Manager overseeing network escalations for HPE Aruba, a provider of intelligent-edge networking solutions. Driving incident reviews, root-cause analysis, stakeholder communications, and case resolution. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 👔 Manager Manager – Technology, IMS, Messaging, Voicemail Platforms, Cloud 🕒 5 days ago AT&T 10,000+ employees 📡 Telecommunications Website LinkedIn All Job Openings AT&T technology manager leading IMS, messaging, voicemail, and cloud network architecture and delivery. Supervising engineers and advancing Mobility Core platforms in Bengaluru. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 👔 Manager Senior Manager, Joining Solutions Leader 🕒 6 days ago Johnson & Johnson 10,000+ employees 🏥 Healthcare ⚕️ Healthcare Insurance 💊 Pharmaceuticals Website LinkedIn All Job Openings Senior Manager leading Workday-based joining solutions for Johnson & Johnson’s global healthcare workforce. Driving recruiting, onboarding, integrations, compliance, adoption, and operational excellence. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 👔 Manager View More Manager Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs