Data Engineer

Growth Accelerator is seeking a talented Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, building, and maintaining the data infrastructure and systems that enable efficient data processing and analysis.

Responsibilities:

• Design and implement data pipelines, ETL processes, and data integration workflows.
• Build and maintain scalable data systems for storing and retrieving large volumes of data.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Collaborate with cross-functional teams, including Data Scientists and Machine Learning Engineers, to identify data requirements and develop solutions.
• Optimize data storage and retrieval for performance, scalability, and cost-effectiveness.
• Monitor and troubleshoot data pipelines and systems to ensure optimal performance and availability.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a similar role.
• Proficient in SQL and Python. Experience with other programming languages is a plus.
• Experience with data engineering tools and frameworks such as Apache Hadoop, Spark, and Kafka.
• Knowledge of database design, data modeling, and data warehousing concepts.
• Familiarity with cloud platforms such as AWS or Azure.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.

Join our team at Growth Accelerator and contribute to building robust data infrastructure that drives business growth and innovation. This role offers an exciting opportunity to work with cutting-edge technologies and collaborate with talented professionals in a dynamic environment.