Description :

We have an Exciting Opportunity for Senior Data Engineering with LogixHealth, If you are an aspirant for matching the below criteria apply with us Immediately!

As a Senior Data Engineer at LogixHealth, you will work with a globally distributed team of engineers to design and build cutting edge solutions that directly improve the healthcare industry. Youll contribute to our fast-paced, collaborative environment and bring your expertise to continue delivering innovative technology solutions, while mentoring others.

Duties and Responsibilities :

- Lead and contribute to the creation of a self-service data platform for reporting and analytics

- Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs)

- Ensure best practices for ETL / ELT processes (data quality management, data processing, data partitioning, maintainability and reusability)

- Collaborate with engineers, product, and business leaders to ensure data platform is integrated with other systems and technologies (Tableau, Power BI, APIs, custom applications)

- Establish CI/CD processes, test frameworks, infrastructure-as-code tools, and monitoring/alerting (Git, Terraform, Azure DevOps / GitHub Actions / Jenkins, Azure Monitor / Datadog)

- Adhere to the Code of Conduct and be familiar with all compliance policies and procedures stored in LogixGarden relevant to this position

Qualifications :

To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities perform the duties.

Education (Degrees, Certificates, Licenses, Etc.) :

- BS (or higher, MS / PhD) degree in Computer Science / related field, or equivalent technical experience.

Experience :

- Experience with native and third-party Databricks integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog)

- 8+ years data engineering experience

- 3+ years in a senior or principal engineer role

- Experience designing scalable data pipelines

- Experience leading projects within a team and across teams

- Azure experience preferred

- Azure Databricks implementation experience preferred

- Experience designing and implementing data security and governance platform adhering to compliance standards (HIPPA, SOC 2) preferred

Specific Job Knowledge, Skill and Ability :

- Strong programming skills in pySpark/Scala

- Strong Dataframe programming skills, such as Spark, Pandas, NumPy

- Passion for mentoring and guiding others

- Strong written and verbal communication skills

- Expert knowledge in architecting, designing and implementing data solutions to serve the needs of our business processes and software products

- Ability to keep security, maintainability, and scalability in mind with the solutions built

- Possess excellent interpersonal communication skills and an aptitude for continued learnin