Data Engineer
•Today
| Verified Pay check_circle | Provided by the employer$100000 to $120000 per year |
|---|---|
| Hours | Full-time, Part-time |
| Location | Quincy, MA Quincy, Massachusetts open_in_new |
About this job
Job Description
Job Description
Job Description
Job Role: Data Engineer
Job Type: Full Time
Job Location: Quincy, MA (Onsite)
Salary Range: $100000 to $120000/Annum Full Time Benefits
Must Have Technical/Functional Skills
Job Role: Data Engineer
Job Type: Full Time
Job Location: Quincy, MA (Onsite)
Salary Range: $100000 to $120000/Annum Full Time Benefits
Must Have Technical/Functional Skills
- Must have atleast 8 years of extensive Data engineering experience in Databricks, ETL/ELT using data pipelines, SQL/Procesurr experience
- Must have 8 years of hands on development proficiency in implementing Databricks solutions using scala and spark with data frames and notebooks/sql
- Must have 8 years of hands on development and performance tuning/ enhancement experience in scala/pyspark and sql
- Must have strong experience with Databricks, including developing and Eligible to workimizing spark jobs, data transformations, and data processing workflows
- Must have experience and a good understanding on the below topics
- Databricks delta lake storage
- Unity catalog
- Autoloader
- Lakehouse architecture
- Medallion architecture
- Databricks serverless Eligible to workions
- Dataset and dataframe
- Databricks clusters configuration and sizing
- Databricks job orchestration
- Spark structured streaming
- Must have experience with complex and large volume data streaming and data transformations using Azure Databricks
- Must have extensive experience in datawarehouse / data lakehouse implementation
- Must have experience with monitoring, debugging, and resolving issues in kive Databricks jobs Must have strong hands on expertise in troubleshooting devops pipelines, azure , and AKS services The candidate should be able to provide data ingestion, streaming and transformations solutions and do development work Experience with apache big data implementation with programming proficiency like pyspark, R or Java prior to Databricks is advantageous Good to have experience with containerization technologies such as docker and Kubernetes
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