ETL Developer / Data Engineer
Neshent Technologies
Key Responsibilities
- Design, develop, and maintain ETL processes and scalable data pipelines for enterprise data integration.
- Build data ingestion and transformation workflows using Java and/or Python.
- Develop and integrate REST APIs to support data exchange between applications and enterprise systems.
- Write, optimize, and maintain SQL queries for data extraction, transformation, validation, and performance tuning.
- Work with Oracle, Snowflake, and/or PostgreSQL databases to support data storage, processing, and integration requirements.
- Implement data quality checks, error handling, logging, and monitoring to ensure data accuracy and pipeline reliability.
- Troubleshoot data pipeline failures, integration issues, and database performance bottlenecks.
- Collaborate with data engineers, application developers, architects, and business stakeholders to deliver reliable data solutions.
- Follow established coding standards, version control practices, and deployment procedures.
- Support CI/CD processes and contribute to the continuous improvement of data engineering workflows.
Required Qualifications
- Strong programming experience in Java and/or Python.
- Hands-on experience developing and maintaining ETL processes and data pipelines in enterprise environments.
- Practical experience working with REST APIs for data ingestion and system integration.
- Strong SQL skills, including data transformation, complex queries, and performance tuning.
- Experience with Oracle and/or Snowflake/PostgreSQL databases.
- Understanding of data integration patterns, data processing workflows, and data quality principles.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to collaborate effectively with technical teams in a fast-paced enterprise environment.
Preferred Experience
- Familiarity with CI/CD tools and practices, including Jenkins, Git, and Bitbucket.
- Knowledge of data ingestion frameworks and enterprise integration tools.
- Experience working with Snowflake-based data platforms and modern data pipeline architectures.
- Familiarity with automated deployment processes, version control, and software development best practices.
- Experience supporting cloud-based or enterprise-scale data engineering solutions.
Vacancy posted 1 day ago
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