Senior AWS Databricks Engineer- W2 only

Ngtalenttech Group Llc
Boston, MA, United States
6 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Cloud Database Data as a Services Information Engineering Data Integration Extract Transform Load (ETL) Job Scheduling Performance Tuning Scala (Programming Language) SQL Databases Workflow Management Systems Apache Spark
+3 more
Pyspark Data Pipelines Databricks

Requirements

Strong expertise in AWS, Databricks, Apache Spark, Scala, PySpark, and SQL. Hands-on experience in data engineering, data pipeline design, and development. Experience developing data ingestion pipelines, ETL/ELT workflows, and Databricks jobs. Strong knowledge of AWS data services and cloud-based data processing. Experience with Databricks workspace, cluster configuration, and performance optimization. Knowledge of job scheduling, workflow orchestration, and data integration.

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