EI
Senior Databricks Engineer
eTeam Inc.
- 🇺🇸 United States
- On-site
- Senior
- 22 hours ago
- Databricks
- PySpark
- Scala
- SQL
- Azure
- Hadoop
- Python
- AWS Cloud
- Azure Cloud
- Devops
- CI/CD
- Agile
22 hours ago
Location: Boston, MA 02109 (Onsite)
Duration: 06 Months
Must Have Skills:
⦁Databricks
⦁Data warehousing
⦁Pyspark
⦁Scala
⦁SQL
⦁Azure
Detailed Job Description:
Databricks Engineer: 9 years of total experience with 5 years relevant experience in the mandatory skills.
Mandatory Skills: Databricks, Hadoop, Python, PySpark, Scala, SQL, Azure/AWS cloud services
Required Skills & Experience:
⦁Very strong hands-on experience in Databricks with Azure cloud service in Data engineering/Data processing development projects implementing on Data warehouse.
⦁Hands-on experience in Azure/AWS Cloud-based development and integration
⦁Proficiency in programming languages Scala and Spark Data frame for data processing and application development
⦁Strong knowledge and experience in Facts, Dimensions, data Partitions, and handling large volume of data.
⦁Experience in handling large data in Databricks and performance optimization as well
⦁Practical experience with Data Engineering, Data Ingestion/Orchestration and the accompanying DevOps with CI-CD tools
⦁Strong knowledge of Spark, Databricks SQL - Data engineering pipeline implementing in Data warehouse
⦁Experience in offshore/onshore model and Ability and agile methodology.
⦁Gathering requirements, understand the business need and regular discussion with tech on design, development activities.
⦁Should have good experience working with client architect/design team to understand the architecture, requirements and work on the development.
⦁Experience working in a Financial Industry.
⦁Certification on Databricks and Azure will be added advantage
Minimum Years of Experience:
⦁9 years, relevant skills 5 years
Top 3 responsibilities:
⦁Databricks
⦁Azure
⦁Python
Senior Databricks Engineer · eTeam Inc.