Data Engineer strong skill in Python, SQL, ETL / ELT concepts

LTM

$90K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7 to 11 years of experience in Python and Customer Data Platforms.
  • Strong expertise in ETL/ELT methodologies.
  • Proficiency in ANSISQL for large datasets.
  • Experience in data quality enhancement and automation.
  • Ability to mentor junior staff in best practices.

Responsibilities

  • Develop and optimize ETL pipelines using Python and SQL.
  • Design data models for efficient storage and retrieval.
  • Troubleshoot data issues to ensure integrity and uptime.
  • Mentor junior team members on Python and ETL.
  • Collaborate with cross-functional teams to integrate data sources.
  • Ensure compliance with data governance and security.
  • Drive initiatives for continuous improvement in data processing.

Benefits

  • Hybrid work model in Phoenix, AZ.
  • Opportunity to mentor and lead junior staff.
  • Access to the latest trends in data management technologies.
Full Job Description
Role description

Data Engineer strong skill in Python, SQL, ETL / ELT concepts

Location Phoenix, AZ Hybrid

Job Summary

Seeking a Senior Specialist with 7 to 11 years of experience in Python and Customer Data Platform to drive data integration and transformation initiatives

Job Description

Develop and maintain scalable Python scripts and applications to support customer data platform operations Utilize expertise in Python to automate data processing workflows and enhance data quality Work with ETL concepts to design and implement data extraction transformation and loading processes Apply ANSISQL skills to query and manipulate large datasets within the customer data platform environment Collaborate with crossfunctional teams to integrate customer data from various sources ensuring consistency and accuracy Analyze complex data sets to support business insights and decisionmaking Stay updated with the latest trends and best practices in Python programming and customer data management

Roles and Responsibilities

Lead the development and optimization of ETL pipelines leveraging Python and SQL Design data models and schemas to support efficient data storage and retrieval in the customer data platform Troubleshoot and resolve datarelated issues ensuring minimal downtime and data integrity Mentor junior team members on Python programming and ETL best practices Coordinate with stakeholders to gather requirements and translate them into technical solutions Ensure compliance with data governance and security policies Drive continuous improvement initiatives to enhance data processing efficiency and platform scalability

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