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We are seeking a highly skilled Data Engineer to join our growing data and analytics team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data-driven decision-making across the organization. You’ll collaborate closely with data analysts, data scientists, and business stakeholders to ensure clean, consistent, and reliable data is readily available.
Job Responsibility:
Design, develop, and maintain robust and scalable ETL/ELT pipelines
Build and optimize data models and architectures in cloud-based data platforms
Collaborate with cross-functional teams to gather data requirements and deliver end-to-end data solutions
Monitor data workflows and troubleshoot issues to ensure data integrity and availability
Implement and enforce data governance, security, and best practices
Continuously improve performance and reliability of the data ecosystem
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field
3+ years of experience in a data engineering role
Proficiency with SQL and experience with relational databases
Strong experience with Python or other programming languages used in data processing
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Familiarity with tools such as Apache Airflow, dbt, Spark, or Kafka is a plus
Experience working with data lakes, data warehouses, and modern data stack technologies
Nice to have:
Experience with data orchestration tools and CI/CD pipelines
Knowledge of data quality frameworks and observability tools
Strong communication skills and ability to explain complex data solutions to non-technical stakeholders
What we offer:
Competitive compensation and benefits
Opportunity to work on impactful data projects with real business value
Collaborative and innovative team culture
Flexible working arrangements and career growth support
Medical, vision, dental, and life and disability insurance
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