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Tech Stack
Tools & technologiesApacheAWSAzureCloudDynamoDBETLMongoDBNoSQLPostgresPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Design and implement scalable enterprise data architectures using Databricks Lakehouse platform
- Configure and manage Databricks workspaces, clusters, access controls, and governance
- Implement Medallion Architecture (Bronze, Silver, Gold layers) for data processing and analytics
- Set up and manage Lakehouse Federation and data connectors for multi-source integration
- Develop logical and physical data models for structured and semi-structured datasets
- Ensure data quality, security, scalability, and performance optimization
- Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Databricks workflows
- Build reusable data ingestion frameworks for batch and streaming workloads
- Optimize Spark jobs for performance, cost efficiency, and reliability
- Integrate data from relational and NoSQL databases, cloud platforms, and external systems
- Automate deployment and monitoring of ETL workflows
- Work with Azure and AWS cloud services to deploy and manage data solutions
- Configure integrations with Snowflake, Postgres, MongoDB, DynamoDB, Cloudera, and Domino Server
- Support CI/CD, infrastructure automation, and environment management
- Collaborate with cross-functional teams including Data Scientists, Analysts, and Business stakeholders
Requirements
What you’ll need- 5+ years of experience in Data Engineering / Data Architecture
- Strong hands-on experience with Databricks platform
- Expertise in:
- Python
- Apache Spark
- PySpark
- SQL
- Strong understanding of:
- Lakehouse Architecture
- Medallion Architecture
- Data Modeling
- ETL/ELT Design Patterns
- Experience with cloud platforms:
- Microsoft Azure
- AWS
- Experience integrating with:
- PostgreSQL
- DynamoDB
- MongoDB
- Snowflake
- Cloudera
- Domino Server
- Knowledge of performance tuning and optimization in Spark/Databricks
- Experience with version control and DevOps practices.
Benefits
Comp & perks- Flexible work arrangements
- Professional development opportunities
ATS Keywords
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Hard Skills & Tools
PythonApache SparkPySparkSQLETLELTData ModelingPerformance TuningData ArchitectureData Engineering
Soft Skills
CollaborationCommunicationProblem SolvingInterpersonal SkillsOrganizational Skills