Why this role stands out
Advance your career as a Databricks Engineer with this hybrid role, offering significant growth opportunities and the chance to work with cutting-edge data technologies. You'll thrive here if you have a strong background in Databricks, Spark, and data pipeline development, contributing to impactful projects within a collaborative environment. Apply now to leverage your expertise and further develop your skills in a dynamic engineering team.
Quick overview
Job description
Employment Type: W2 Only
Desired Skills
- Experience with the Databricks Lakehouse Platform
- Strong knowledge of Apache Spark, PySpark, Python, SQL, or Scala
- Experience developing and optimizing data pipelines
- Knowledge of Delta Lake, Delta Live Tables, Unity Catalog, and Databricks Workflows
- Experience with data warehousing, data lakes, ETL, and ELT processes
- Understanding of data governance, security, access controls, and platform administration
- Experience integrating Databricks with AWS, Microsoft Azure, or Google Cloud Platform
- Knowledge of Azure Data Factory, AWS Glue, Snowflake, Microsoft Fabric, or similar platforms is beneficial
- Experience with CI/CD, Git, DevOps, and infrastructure automation
- Knowledge of machine learning, MLflow, generative AI, or Mosaic AI is a plus
- Experience with platform migrations, performance optimization, and production support
- Strong analytical, problem-solving, and communication skills
- Ability to work independently and collaboratively with business and technical teams
How To Apply
Job ID: JPC - 236918
Contact:
Name: Sai Kiran Goud
Email:
Phone:
CodeForce 360 proudly provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.
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