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Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureCloudETLKafkaPySparkSparkSQL
About the role
Key responsibilities & impact- Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.
- Develop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.
- Implement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.
- Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions.
- Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.
- Integrate Databricks pipelines with cloud services (Azure Data Lake / AWS S3, Event Hub/Kafka, Synapse/Redshift, etc.).
- Ensure data quality, reliability, and observability through validation frameworks and monitoring.
- Contribute to data modeling, metadata management, and best practices within the data platform.
- Collaborate closely with data scientists, analysts, and business teams to support analytics and ML workloads.
Requirements
What you’ll need- 8+ years of experience in data engineering with strong expertise in Databricks.
- Hands-on experience with Spark (PySpark/Spark SQL) and distributed data processing.
- Solid SQL knowledge and experience working with large-scale datasets
- Strong understanding of Delta Lake, medallion architecture, and scalable lakehouse patterns.
- Good understanding of CI/CD, Git, and modern DevOps practices for data pipelines.
- Familiarity with structured/unstructured data, data quality frameworks, and performance tuning.
- Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and 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 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Senior Data Engineer 🔥 52 minutes ago 🏢 Gurugram – Onsite ⏰ Full Time 🟠 Senior 🚰 Data Engineer Amazon Redshift AWS Azure Cloud ETL Kafka PySpark Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Design, build, and maintain ETL/ELT pipelines on Databricks using PySpark, Spark SQL, and Delta Lake.
- Develop and optimize data ingestion frameworks, data transformations, and end-to-end workflows for batch and streaming use cases.
- Implement Delta Lake-based architectures, including versioning, schema evolution, and ACID-compliant pipelines.
- Work with stakeholders to understand data requirements and translate them into scalable data engineering solutions.
- Manage and optimize Databricks clusters, jobs, and notebooks for performance and cost efficiency.
- Integrate Databricks pipelines with cloud services (Azure Data Lake / AWS S3, Event Hub/Kafka, Synapse/Redshift, etc.).
- Ensure data quality, reliability, and observability through validation frameworks and monitoring.
- Contribute to data modeling, metadata management, and best practices within the data platform.
- Collaborate closely with data scientists, analysts, and business teams to support analytics and ML workloads. 🎯 Requirements
- 8+ years of experience in data engineering with strong expertise in Databricks.
- Hands-on experience with Spark (PySpark/Spark SQL) and distributed data processing.
- Solid SQL knowledge and experience working with large-scale datasets
- Strong understanding of Delta Lake, medallion architecture, and scalable lakehouse patterns.
- Good understanding of CI/CD, Git, and modern DevOps practices for data pipelines.
- Familiarity with structured/unstructured data, data quality frameworks, and performance tuning.
- Education: Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and 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 🌐 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 Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder 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
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Hard Skills & Tools
ETLELTPySparkSpark SQLDelta Lakedata ingestion frameworksdata transformationsdata modelingmetadata managementperformance tuning
Soft Skills
collaborationstakeholder managementcommunicationproblem-solvinganalytical thinking