Senior Data Engineer Credence
Boston, MA4 days ago
Highlights
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.
Numbers & Facts
| Location | Quincy, MA |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Role: Data Engineer - Databricks, Scala
Skills: Digital: Scala, Digital: Databricks Experience Required: 8-10 Years
Databricks, Scala- Data Engineer
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 and a good understanding on the below topics
Databricks delta lake storage
Unity catalog
Autoloader
Lakehouse architecture
Medallion architecture
Databricks serverless options
Dataset and data frame
Databricks clusters configuration and sizing
Databricks job orchestration
Spark structured streaming
Skills: Digital: Scala, Digital: Databricks Experience Required: 8-10 Years
Databricks, Scala- Data Engineer
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 and a good understanding on the below topics
Databricks delta lake storage
Unity catalog
Autoloader
Lakehouse architecture
Medallion architecture
Databricks serverless options
Dataset and data frame
Databricks clusters configuration and sizing
Databricks job orchestration
Spark structured streaming
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
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