ETL Developer (15 Years experience)

  • Irvine, CA
  • Posted 8 hours ago | Updated 8 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)

Skills

Databricks
Data Flow
Data Integration
Data Integrity
Data Processing
Data Warehouse
Documentation
Pandas
Performance Tuning
PySpark
Python
NumPy
ETL pipelines
Informatica
Talend
Apache Nifi

Job Details

Role- ETL Developer (15 Years experience)

Location- Onsite in Irvine, CA

JD-

Key Responsibilities:

  • ETL Design and Development: Architect, implement, and maintain robust ETL pipelines to efficiently extract, transform, and load data from diverse source systems into data warehouses and lakes.
  • Data Integration: Oversee the integration of structured and unstructured data using cutting-edge technologies and tools (e.g., Informatica, Talend, Apache Nifi).
  • Optimization and Performance Tuning: Continuously improve ETL processes for optimal performance, reliability, and scalability, minimizing data processing time and resource usage.
  • Technical Leadership: Provide mentorship and technical guidance to junior team members, fostering a collaborative and innovative work environment.
  • Collaboration and Communication: Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to ensure alignment with wider business objectives.
  • Documentation and Compliance: Maintain comprehensive documentation for ETL processes and ensure practices conform to regulatory and compliance standards.
  • Troubleshooting and Issue Resolution: Lead efforts to identify, diagnose, and resolve complex data-related issues, ensuring data integrity and accuracy.
  • Cloud Experience: Experience with cloud-based data platforms (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow, Databricks).

Qualifications:

  • Experience: 8-12 years of professional experience in ETL development and data integration.
  • Good to Have: Python, pandas, numpy, pyspark etc.

Regards

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