Junior Data Engineer

ResponsibilitiesDevelop, maintain, and optimize data pipelines to extract, transform, and load large datasets from diverse sources into our data ecosystem.Design and implement efficient and scalable data models that align with business requirements, ensuring data integrity and performance.Collaborate with cross-functional teams to understand data needs and deliver solutions that meet those requirements.Work closely with data scientists, analysts, and software engineers to ensure seamless integration of data solutions into larger systems.Identify and resolve data quality issues, ensuring accuracy, reliability, and consistency of the data infrastructure.Continuously monitor and improve data pipelines and processes, identifying opportunities for automation and optimization.QualificationsBachelor's or Master's degree in Computer Science, Engineering, or a related field.5+ years of hands-on experience as a Data Engineer, working on complex data projects and implementing data modeling solutions.Solid understanding of SQL and expertise in working with relational databases (e.g., PostgreSQL, MySQL).In-depth knowledge of data modeling techniques and experience with data modeling tools.Working knowledge on Data warehousing.Familiarity with cloud-based data platforms and services (e.g., Snowflake, AWS, Google Cloud, Azure).Experience with version control systems (e.g., Git) and agile software development methodologies.Strong communication skills to effectively convey technical concepts to both technical and non-technical stakeholders.Primary Skillset:

Data Engineering

#J-18808-Ljbffr