This position is posted by Jobgether on behalf of a partner company. We are currently looking for an ETL Developer in India.
This role is centered on building and maintaining robust data pipelines and data warehouse solutions that enable high-quality analytics and business intelligence. You will work on designing, developing, and optimizing ETL processes that integrate data from multiple internal and external systems into scalable data platforms. The position plays a key role in ensuring data accuracy, consistency, and availability for reporting and decision-making. You will collaborate closely with BI teams, data architects, and business stakeholders to translate analytical needs into efficient technical solutions. The environment is highly data-driven, with a strong focus on automation, modernization, and cloud-based technologies. This is an opportunity to contribute directly to enterprise data strategy and support impactful business insights through reliable data engineering practices.
Accountabilities
- Design, develop, and maintain data warehouse systems to support reporting, analytics, and business intelligence initiatives.
- Build and optimize ETL pipelines to extract, transform, and load data from multiple internal and external sources.
- Ensure data quality, integrity, and consistency across data platforms and workflows.
- Develop and test end-to-end data integration solutions across systems such as ERP, ATS, VMS, and financial applications.
- Automate data ingestion, transformation, and storage processes to improve efficiency and scalability.
- Perform data exploration, cleansing, and analysis to identify trends, anomalies, and improvement opportunities.
- Support BI teams in developing dashboards, reports, and visualizations by ensuring reliable data availability.
- Collaborate with stakeholders to gather requirements and translate them into scalable technical solutions.
- Maintain documentation for ETL processes, data mappings, and system workflows.
- Contribute to continuous improvement initiatives, including cloud migration and adoption of modern data engineering tools.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 2-5 years of experience in ETL development, data integration, and data pipeline management.
- Hands-on experience with ETL tools such as SSIS, Informatica, Talend, or Azure Data Factory.
- Strong understanding of data warehousing concepts, relational databases, and data modeling principles.
- Experience working with structured and semi-structured data across multiple systems.
- Familiarity with cloud data platforms such as AWS, Azure, or Snowflake is a plus.
- Strong analytical and problem-solving skills with attention to detail and data accuracy.
- Ability to collaborate effectively with BI teams, data engineers, and business stakeholders.
- Good communication skills for translating technical concepts into business insights.
- Experience in automation and data process optimization is highly desirable.
Benefits
- Competitive compensation package based on experience
- Opportunity to work in a data-driven, global workforce solutions environment
- Exposure to modern data engineering tools and cloud platforms
- Career growth opportunities in analytics and data engineering domains
- Collaborative and inclusive work culture
- Learning and development support for technical upskilling and certifications
- Flexible work arrangements depending on team structure
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
