Junior Data Engineer

Join our innovative team as a Junior Data Engineer and become a vital contributor to our data-driven initiatives! In this energetic role, you will support the development, maintenance, and optimization of our data infrastructure, enabling insightful analysis and strategic decision-making. You’ll work with cutting-edge technologies to build scalable data pipelines, manage large datasets, and collaborate across teams to turn complex data into actionable insights. This position offers a fantastic opportunity for aspiring data professionals eager to grow their skills in a dynamic environment., * Assist in designing, developing, and maintaining data pipelines using ETL (Extract, Transform, Load) processes to ensure seamless data flow across systems.

• Support the integration of diverse data sources including cloud platforms like AWS and Azure Data Lake, as well as on-premises databases such as Microsoft SQL Server and Oracle.
• Collaborate with senior engineers to implement data models and optimize database design for efficiency and scalability.
• Write and maintain SQL queries, Python scripts, Bash (Unix shell), and Shell Scripting to automate data workflows and perform analysis tasks.
• Contribute to the development of dashboards and reports using Looker or similar analytics tools to visualize key metrics.
• Assist in managing big data technologies such as Hadoop, Apache Hive, Spark, and Informatica for processing large datasets.
• Support model training activities by preparing datasets and performing preliminary analysis to inform machine learning projects.
• Participate in Agile development cycles, including sprint planning, stand-ups, and retrospectives to ensure continuous delivery of high-quality solutions.

Do you have experience in Data-driven problem-solving?, * Basic understanding of cloud platforms such as AWS or Azure Data Lake is preferred.

• Familiarity with programming languages like Java and Python for data manipulation and automation tasks.
• Knowledge of big data frameworks including Hadoop, Spark, and Apache Hive is advantageous.
• Experience working with relational databases such as Microsoft SQL Server or Oracle; knowledge of database design principles is a plus.
• Exposure to ETL tools like Talend or Informatica for data integration projects.
• Understanding of RESTful APIs for integrating external services into data workflows.
• Strong analysis skills with the ability to interpret complex datasets and communicate findings clearly.
• Familiarity with analytics tools like Looker or similar platforms for creating visualizations.
• Experience working in an Agile environment enhances collaboration and project delivery efficiency. Embark on your journey as a Junior Data Engineer with us-where innovation meets opportunity! We’re committed to fostering your growth through hands-on experience with industry-leading tools and technologies while supporting your professional development every step of the way.

$40 - $50 an hour - Contract, Pulled from the full job description

• Flexible schedule