Position: Data Engineer
Location: Quincy, MA (Onsite)
Duration: Full-time
Salary Range: $110,000 - $126,000 /Annum
Must Have Technical/Functional Skills
- 8+ years of extensive Data engineering experience in Databricks, ETL/ELT using data pipelines .
- SQL/Procesurr experience.
- 8 years of hands-on development proficiency in implementing Databricks solutions using scala and spark with data frames and notebooks/sql
- 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 above 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
Roles & Responsibilities:
- 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 shd 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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