What are the responsibilities and job description for the Azure Databricks Engineer position at Aroha Technologies?
Job Details
Position: Azure Data Bricks Senior/Lead/Architect - 3 different positions
Location: Warren, NJ No Remote (5 Days Onsite)
For Senior / Lead Databricks certification required
For Lead/Architect - MLOps experience is required
Requirements and Skills:
- 10 years experience as a Data Engineer with experience in building ETL/Data pipelines with cloud technologies
- 4 years extensive experience in designing, developing, and implementing scalable data pipelines using Databricks to ingest, transform, and store structured and unstructured data
- 5 years experience with programming languages such as Python/PySpark and query languages like SQL
- 5 years experience in building metadata-driven data ingestion pipelines using ADF (Azure Data Factory)
- 5 years experience in analyzing, optimizing, and tuning existing data pipelines for performance, reliability, and efficiency
- 2 years experience in implementing MLOps practices to streamline the deployment and management of machine learning models
- 2 years experience using Apache Airflow for job orchestration and workflow management
- Familiarity with CI/CD tools and practices for automating the deployment of data engineering solutions
- Experience in collaborating with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions
- Knowledge/Experience in implementing security measures and standard processes to ensure data privacy and compliance with regulatory standards
- In-depth knowledge of data engineering concepts, ETL processes, and data architecture principles
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
