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Data Engineer

Job in Quincy, Norfolk County, Massachusetts, 02171, USA
Listing for: Northern Base
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 170000 USD Yearly USD 140000.00 170000.00 YEAR
Job Description & How to Apply Below
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 optimizing spark jobs, data transformations, and data processing workflows
  • Must have experience with complex and large volume data streaming and data transformations using Azure Databricks
  • Must have extensive experience in data warehouse / 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
Must have experience and a good understanding on the below topics
  • Databricks delta lake storage
  • Unity catalog
  • Autoloader
  • Lakehouse architecture
  • Medallion architecture
  • Databricks serverless options
  • Dataset and dataframe
  • Databricks clusters configuration and sizing
  • Databricks job orchestration
  • Spark structured streaming
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