Role overview

Qualifications

Bachelor's degree in Computer Science, IT, or a related field
2–5 years of experience as an ETL Developer or in a related data engineering role
Strong proficiency in SQL and relational databases (Oracle, SQL Server, MySQL, PostgreSQL, etc.)
Hands-on experience with ETL tools (Informatica, Talend, SSIS, DataStage, Pentaho, or equivalent)

Responsibilities

Design, develop, and maintain ETL workflows for data extraction, transformation, and loading
Collaborate with business analysts, data engineers, and stakeholders to understand data requirements
Optimize ETL processes for performance, scalability, and reliability
Perform data validation, cleansing, and quality checks to ensure accuracy

Key facts

Remote from: Georgia (USA)
Full time
Mid-level (2-5 years)
ETL Developer
English

Hard skills

SQL (Programming Language) Data Integration Relational Databases Xplenty (ETL Tools) Data Modeling Programming Languages Big Data Analytics Data Streaming DevOps Data Governance Debugging

Other skills

Analytical Skills
Problem Solving

About the company

OVA.Work

OVA is the most advanced Automated, Intelligent, intuitive On-boarding platform for Staffing Firms of all sizes. Since 2018, OVA has been raising the bar in the Human Capital Management Software Industry. Headquartered in Alpharetta, Georgia, We allow high-volume employers to create a seamless on-boarding experience with just a few clicks. Our E-boarding and candidate engagement tool will simplify employers Work life, eliminate Manual Processes, paper work, dropouts and delays and helps you keep track of employee progress, allowing new hires to get the most out of the on-boarding experience. Hire 80% faster and reduce your time and cost by 50% and improve the overall experience. We are proud to be the first company to put Powerful, easy to use on-boarding platform into the hands of startups, growing companies and enterprises alike. # New Hire On-board Smart with Technology: • Automated Intro Emails • Easy-Fill web Forms • Paperless, E-Signature-Enabled Processes • Personalized Portals • Track Employee Progress • Easy-to-use Notifications • Schedule Deadlines • Intuitive Dashboard • Centralized Employee Data • Submit Employee Verification Requirements • Payroll Integrations • Fully integrated System Reach us today to learn how ova.work can help you to enhance your New Hire On-boarding process to the next level.

Company details

Company size51 - 200

Links

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Job description

Job Title: ETL Developer

Location: TX
Job Type: Full-Time
Department: Data Engineering / IT
Reports To: Data Engineering Lead / Project Manager

Job Summary:

We are looking for a detail-oriented and experienced ETL Developer to design, develop, and maintain robust ETL processes for our data integration and warehousing solutions. The ideal candidate will have strong technical skills in ETL tools, databases, and SQL, along with the ability to analyze business requirements and transform them into scalable data pipelines.

Key Responsibilities:

Design, develop, and maintain ETL workflows for data extraction, transformation, and loading.
Collaborate with business analysts, data engineers, and stakeholders to understand data requirements.
Optimize ETL processes for performance, scalability, and reliability.
Perform data validation, cleansing, and quality checks to ensure accuracy.
Develop and maintain data models, schemas, and metadata.
Troubleshoot and resolve issues related to data integration and ETL jobs.
Document ETL processes, workflows, and best practices.
Support production deployments and provide ongoing maintenance.

Requirements:

Bachelor's degree in Computer Science, IT, or a related field.
2–5 years of experience as an ETL Developer or in a related data engineering role.
Strong proficiency in SQL and relational databases (Oracle, SQL Server, MySQL, PostgreSQL, etc.).
Hands-on experience with ETL tools (Informatica, Talend, SSIS, DataStage, Pentaho, or equivalent).
Knowledge of data warehousing concepts, star/snowflake schemas, and dimensional modeling.
Experience with scripting languages (Python, Shell, etc.) for automation.
Familiarity with cloud-based data platforms (AWS Redshift, Azure Data Factory, GCP BigQuery) is a plus.
Strong analytical, problem-solving, and debugging skills.

Preferred Skills (Nice to Have):

Experience with big data technologies (Hadoop, Spark).
Familiarity with real-time data streaming (Kafka, Kinesis).
Exposure to DevOps tools for CI/CD of data pipelines.
Understanding of data governance and security best practices.

What We Offer:

Competitive compensation and benefits.
Opportunity to work on large-scale data engineering projects.
Professional development and training opportunities.
Collaborative and growth-oriented environment.