Junior Data Engineer

As a Junior Data Engineer at our company, your role will involve supporting the development and maintenance of data pipelines and analytics solutions. You will collaborate with senior engineers and analysts to manage data infrastructure, build scalable data workflows, and contribute to business intelligence initiatives. This opportunity is perfect for individuals with a strong technical background and a keen interest in expanding their expertise in data engineering and analytics. Key Responsibilities: - Assist in building and maintaining data pipelines and workflows. - Support data ingestion, transformation, and integration tasks. - Help manage and document data schemas and metadata. - Collaborate with analysts and business users to understand data requirements. - Participate in data quality checks and troubleshooting efforts. - Contribute to the automation of manual data processes. - Learn and support cloud-based data tools and platforms, such as Azure. - Stay updated with new data technologies and best practices. - Participate in sprint planning and agile ceremonies with the team. Qualifications Required: - Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or a related field. - 2 years of experience in a data engineering or analytics support role. - Proficiency in SQL and familiarity with relational databases. - Exposure to Python, R, or Spark for data processing. - Understanding of data modeling, ETL processes, and data warehousing concepts. - Strong communication skills and ability to collaborate with cross-functional teams. - Ability to follow documented processes and work under supervision. If you have exposure to cloud platforms, familiarity with CRM systems and customer data, or an understanding of the retail energy industry, it would be considered a plus. Additionally, certifications in data engineering or cloud technologies are seen as a bonus.,