Duties and Responsibilities

1. Lead and contribute to the creation of a self-service data platform for
reporting and analytics
2. Design and build data solutions using Databricks, SQL, Python, Spark, and
Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs)
3. Ensure best practices for ETL / ELT processes (data quality management, data
processing, data partitioning, maintainability and reusability)
4. Collaborate with engineers, product, and business leaders to ensure data
platform is integrated with other systems and technologies (Tableau, Power
BI, APIs, custom applications)
5. Establish CI/CD processes, test frameworks, infrastructure-as-code tools,
and monitoring/alerting (Git, Terraform, Azure DevOps / GitHub Actions /
Jenkins, Azure Monitor / Datadog)
6. 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.

Experience

1. Experience with native and third-party Databricks integrations (Delta Live
Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog)
2. 8+ years data engineering experience
3. 3+ years in a senior, staff or principal engineer role
4. Experience designing scalable data pipelines
5. Experience leading projects within a team and across teams
6. Azure experience preferred
7. Azure Databricks implementation experience preferred
8. Experience designing and implementing data security and governance platform
adhering to compliance standards (HIPPA, SOC 2) preferred

Specific Job Knowledge, Skill and Ability

1. Strong programming skills in pySpark/Scala
2. Robust Dataframe programming skills, such as Spark, Pandas, NumPy
3

📌 Senior Data Engineer (India)
🏢 LogixHealth
📍 India