Keylent
Keylent

AWS Databricks Engineer - Dallas, TX | Local Only | Onsite. Inperson interview is MUST. Need strong experience with AWS + Python + PySpark + Databricks + AWS Glue + SQL + Kafka + Redshift + ETL.

Dallas, TX, US • Posted 4 hours ago • Updated 4 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
On-site
Depends on Experience
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Dice Job Match Score™

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Job Details

Skills

  • Amazon Redshift
  • Amazon S3
  • Amazon Web Services
  • Apache Kafka
  • Apache Spark
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Data Lake
  • Data Quality
  • Data Warehouse
  • Databricks
  • ETL QA
  • Extract
  • Transform
  • Load
  • Git
  • Management
  • Performance Tuning
  • PySpark
  • Python
  • Real-time
  • SQL
  • SQL*Plus
  • Workflow

Summary

AWS Databricks Engineer Dallas, TX | Local Only | Onsite

Work Mode: Onsite - Inperson interview is MUST

Required Skills:

  • 10+ years of strong hands-on experience with AWS services
  • Strong expertise in Python and PySpark development
  • Strong hands-on experience with Databricks
  • Experience developing Databricks notebooks, workflows, and ETL pipelines
  • Strong knowledge of Apache Spark / PySpark and distributed data processing
  • Experience with Databricks Delta Lake / Delta tables
  • Hands-on experience with Databricks SQL and data transformation
  • Experience building and optimizing Databricks ETL/data engineering pipelines
  • Experience with AWS Glue and ETL process development
  • Strong SQL skills for data transformation, analysis, and optimization
  • Hands-on experience with Kafka for real-time data processing
  • Experience with Amazon Redshift
  • Experience integrating Databricks with AWS services, including S3, Glue, and Redshift
  • Knowledge of Git pipelines and CI/CD processes
  • Experience deploying and managing Databricks jobs/workflows through CI/CD
  • Strong understanding of ETL workflows and data integration
  • Experience in ETL testing, validation, and data quality checks
  • Expertise in ETL automation frameworks and process optimization
  • Experience with data pipeline performance tuning and Spark optimization
  • Strong understanding of batch and real-time data processing
  • Experience troubleshooting and optimizing Spark/Databricks jobs
  • Strong knowledge of data lake / data warehouse concepts
  • Experience working with large-volume datasets and distributed processing

Must Have: AWS + Python + PySpark + Databricks + AWS Glue + SQL + Kafka + Redshift + ETL

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423210A
  • Position Id: 9131326
  • Posted 4 hours ago

Company Info

About Keylent

We established Keylent to provide the Key Talent that our clients seek. We are all about People. About Passion. Professional and Process driven.



We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.



We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.



Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.


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Mamatha Annapureddy

Recruiter @ Keylent

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