Role & Responsibilities:
- Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python.
- Build and optimize ETL/ELT processes within Azure cloud environments.
- Implement data models following modern Data Lakehouse principles (e.g., Medallion architecture).
- Ensure data quality, consistency, and performance across ingestion, staging, and curated layers.
- Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.
- Develop reusable data transformation logic and modular processing components.
- Support deployment processes following CI/CD and DevOps best practices.
- Monitor and optimize data workflows for performance, scalability, and reliability.
- Contribute to data governance, security, and compliance practices relevant to healthcare environments.
Hard Skills - Must have:
- Current knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes
- Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes
- Applied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization.
- Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Auroraor a comparable engine.
- Strong experience with batch and streaming data processing techniques and file compactization strategies.
Hard Skills - Nice to have/It's a plus:
- Strong hands-on experience with Databricks in Azure environments.
- Advanced proficiency in Python and PySpark for distributed data processing.
- Experience building and optimizing data pipelines in Azure (Azure Data Factory, Azure SQL, Data Lake Storage, etc.).
- Solid understanding of data warehousing, data lakehouse concepts, and ETL/ELT frameworks.
- Experience working with relational databases such as SQL Server, PostgreSQL, Oracle, or similar.
- Knowledge of batch and streaming data processing patterns.
- Experience working with large, complex datasets in cloud-based distributed environments.
Soft Skills / Business Specific Skills:
- Strong analytical and problem-solving skills.
- Ability to work effectively in cross-functional and distributed teams.
- Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Proactive mindset with a strong sense of ownership.
- Commitment to delivering high-quality, reliable data solutions.
Top Skills
What We Do
Allata (pronounced a-ley-ta) is a strategy, architecture and enterprise-level application development company focused on helping clients enhance or scale business opportunities, create efficiencies and automate processes through custom technologies.
We are building a different kind of firm – focused on doing exciting, transformational work for great clients and bringing caring and dedicated people to make our clients goals a reality. Our vision is to build an energized group of talented professionals that can stand strong on their own but work better as a networked team.
We enable business agility at the intersection of people, process, and technology. We provide solutions and expert services to assist businesses to become more nimble, transformative, and disruptive in their respective industries. We define vision, strategy, and value creation models for shaping strategic product designs, managing, and transforming enterprise delivery.
Just as strongly as we care about our clients, we feel that it is important to give back to the community and non-profits that we are passionate about. Every month, Allata donates 2% of our net income to a charitable cause our team believes in.
We live by our mantra:
Family comes first, clients are king, we take great care of our people.
