Data Engineer with Mortgage - Onsite

Dallas, TX, US • Posted 21 hours ago • Updated 21 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Data Engineer with Mortgage
  • CI/CD tools
  • GitHub
  • Python
  • Pyspark

Summary

Title:Data Engineer with Mortgage - Onsite
Location:Dallas,TX
Length:Long term
Restriction:w2 or c2c
 
 
 
Description:

**** Webcam interview; *** Long term project ***Linkedin Must*** Onsite **** Need Locals to TX ****

Job Description

Responsibilities

  • Design and implement scalable solutions for ever-increasing data volumes, using big data/cloud technologies like Pyspark, Kafka, etc.
  • Collaborate with cross-functional teams to understand data requirements and provide effective solutions.
  • Implement real-time data ingestion and processing solutions.
  • Develop and maintain ETL/ELT processes to support data analytics and reporting.
  • Implement best practices for data security, integrity, and quality.
  • Develop data integration and migration strategies to move data from legacy systems to cloud.
  • Monitor and troubleshoot the performance and availability of the data systems and implement strategies to improve their reliability and scalability.
  • Manage security and access controls for the data systems, including managing roles and permissions, implementing encryption, and complying with regulatory requirements.

Requirements

  • Bachelor's in Engineering or Master's degree in Computer Science, Information Systems or related field.
  • Minimum of 5 - 9 years of experience in data engineering.
  • Experience with databases and data warehouse implementations (Preferred – Snowflake, PostgreSQL).
  • Strong SQL skills with experience in writing and optimizing complex queries.
  • Working knowledge of data warehousing, data governance, data quality and data architecture.
  • Experience in data modelling.
  • Ability to handle large scale structured and unstructured data from internal and third-party sources.
  • Hands on experience in Python, Pyspark, Kafka.
  • Experience with data engineering tools/technologies in Google Cloud Platform cloud environment.
  • Proficiency in designing and maintaining scalable data architectures.
  • Experience with CI/CD tools like GitHub.
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: msyca001
  • Position Id: SMZ - 326
  • Posted 21 hours ago
Contact the job poster
SG

Shaji Gazni

Recruiter @ MSYS Inc.
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