Description
Duties and Responsibilities:
- Contribute to the creation of a self-service data platform for reporting and analytics
- Knowledge for airflow or similar systems is must
- Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs)
- Adhere to best practices of 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

1. 5+ years of data engineering experience in contemporary cloud or big data environments

2. Experience with MS-SQL Server, PostgreSQL, or MySQL

3. Strong development experience in Python, Scala, or Java for data engineering workflows

4. Hands-on experience with Databricks and third-party integrations like Delta Live Tables, Azure Synapse, Unity Catalog, and Airflow

5. Experience working with cloud-based data services including Azure Data Factory, Blob Storage, and Event Hubs

6. Exposure to data governance and compliance practic

📌 Data Engineer (India)
🏢 LogixHealth
📍 India