Associate Data Engineer

When you are working with us, you will be:

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and develop data solutions to meet business needs.
• Design, implement, and optimize data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
• Develop and maintain data models, schemas, and databases to support data analysis and reporting requirements.
• Perform data cleansing, validation, and quality assurance processes to ensure data accuracy, completeness, and consistency.
• Collaborate with IT teams to ensure the scalability, reliability, and security of data infrastructure and systems.
• Monitor data pipelines and proactively identify and resolve data issues or performance bottlenecks.
• Document data engineering processes, procedures, and best practices to facilitate knowledge sharing and team collaboration.
• Stay updated on industry trends, emerging technologies, and best practices in data engineering and analytics.

You can get in, if you can prove that you:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Strong programming skills in languages such as Python and SQL.
• Experience with data modeling, database design, and SQL query optimization.
• Familiarity with data warehousing concepts and technologies (e.g., AWS Redshift, Google BigQuery, Snowflake, Azure).
• Hands-on experience with ETL tools and frameworks (e.g., SSIS, Azure Data Factory, Apache Spark, Talend, Informatica).
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.