Overview
On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship
Skills
Snowflake
Data Bricks
AWS
CI/CD
Data Pipelines
Job Details
Job Title: Data Engineer Snowflake & Databricks
Location: Berkeley Heights, NJ
Job Summary:
We are seeking a highly skilled Data Engineer with strong expertise in Snowflake and Databricks to join our team in Berkeley Heights, NJ. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines, ensuring data availability, reliability, and performance to support advanced analytics and business intelligence initiatives.
Key Responsibilities:
- Design, build, and maintain scalable data pipelinesand ETL processes using Snowflake and Databricks.
- Develop and optimize data modelsto support reporting, analytics, and machine learning workloads.
- Implement data ingestion frameworks to integrate structured and unstructured data from various sources.
- Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
- Ensure data quality, security, and governanceacross all data platforms.
- Monitor and optimize performance of Snowflake databases and Databricks clusters.
- Automate workflows and implement best practices for CI/CD in data engineering.
- Troubleshoot data-related issues and provide timely resolutions.
Required Skills & Qualifications:
- Bachelor s or Master s degreein Computer Science, Information Systems, Data Engineering, or related field.
- 9+ yearsof experience in Data Engineering, with a focus on Snowflake and Databricks.
- Strong proficiency in SQL, Python, PySpark, and data transformation techniques.
- Hands-on experience with ETL/ELT frameworksand pipeline orchestration tools (e.g., Airflow, ADF).
- Expertise in data modeling, query optimization, and performance tuningin Snowflake.
- Experience with Delta Lake, Spark SQL, and Databricks notebooks.
- Familiarity with cloud platforms(AWS, Azure, or Google Cloud Platform) and modern data architectures.
- Knowledge of data governance, security, and compliancebest practices.
- Strong problem-solving and communication skills.
Preferred Skills:
- Experience with real-time/streaming data pipelines(Kafka, Kinesis, etc.).
- Familiarity with CI/CD, DevOps practices, and Git-based workflows.
- Knowledge of BI/Analytics tools (Power BI, Tableau, etc.).
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.