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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 3 days ago
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