Job Purpose: The Associate Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and solutions to support our organization's data needs.Duties & Responsibilities:Design and develop data pipelines and ETL processes to collect, process, and store data from various sources.Implement data quality checks, data validation, and data transformations to ensure the accuracy and integrity of data.Collaborate with data scientists and analysts to understand data requirements and design optimized data storage structuresOptimize and tune data pipelines for performance and scalability.Monitor, troubleshoot, and debug data pipeline issues to ensure continuous data flow and availability.Stay informed about emerging technologies and best practices in data engineering and make recommendations for improvements to existing processes.Document data engineering processes, data models, and data flows for internal and external stakeholders.Qualifications and Experience:Bachelor’s degree in computer science, Information Technology, or related field+3 years of experience working as a Data Engineer or similar roleExperience with data pipeline orchestration tools (Airflow, Prefect, Dagster) and implementing logging or monitoring for reliability.A track record of working with data warehouses (star/snowflake schemas), data lakes, or lakehouse environments.Strong proficiency in SQL, Python, and data processing frameworks such as Apache Spark or Apache Kafka, Apache Flink and dbt.Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and data warehousing technologiesKnowledge of data modeling concepts and database design principlesFamiliarity with data governance, data security, and data privacy regulationsFamiliarity with version control practices (Git) and basic CI/CD concepts for deploying data pipelines.Understanding NoSQL concepts or cloud object stores is a plusExcellent problem-solving skills and attention to detail Strong communication and collaboration skills
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