ETL Developer - to 125k!

  • Providence, RI
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
$100,000 - $125,000
Full Time

Skills

Extract
Transform
Load
Python
Data Integration
Data Governance
Data Flow
Dimensional Modeling
Microsoft SSIS
Talend
Scripting
SQL
Relational Databases
Performance Tuning
Informatica
Data Quality

Job Details

Salary is 100k to 125k

We are seeking a skilled ETL Developer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable ETL pipelines to support data integration, transformation, and loading across a variety of business systems. You will work closely with data analysts, engineers, and business stakeholders to ensure the accuracy, availability, and reliability of enterprise data.

Key Responsibilities:

  • Design, develop, and maintain robust and scalable ETL pipelines to extract, transform, and load data from various sources into data warehouses or data lakes

  • Collaborate with data architects, analysts, and engineers to implement best practices for data integration and data quality

  • Write complex SQL queries for data extraction, transformation, and validation

  • Optimize ETL performance and troubleshoot any issues with data quality or pipeline failures

  • Develop and maintain documentation for ETL processes and data mappings

  • Ensure compliance with data governance and security policies

  • Participate in code reviews, testing, and deployment processes in a collaborative team environment

  • Monitor and maintain production ETL jobs to ensure high availability and reliability

Required Skills & Qualifications:

  • 3+ years of hands-on experience in ETL development using any modern ETL tool (e.g., Informatica, Talend, SSIS, Apache NiFi, etc.)

  • Strong proficiency in SQL and relational databases (e.g., Oracle, PostgreSQL, SQL Server, etc.)

  • Experience with scripting languages such as Python or Shell for workflow automation

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-based data services is a plus

  • Understanding of data warehousing concepts, dimensional modeling, and data governance principles

  • Experience working with large datasets and performance tuning of ETL jobs

  • Excellent problem-solving, analytical, and communication skills

  • Bachelor s degree in Computer Science, Information Systems, or a related field

Preferred Qualifications:

  • Experience with cloud ETL tools (e.g., AWS Glue, Azure Data Factory, Google Dataflow)

  • Knowledge of data cataloging, data quality, or metadata management tools

  • Familiarity with version control (e.g., Git), CI/CD pipelines, and Agile methodologies

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.