Data Engineer at Syx Labs

Key Responsibilities

• Build and maintain scalable ETL pipelines for seamless data integration.
• Process and transform raw data from multiple sources into usable formats.
• Develop efficient data storage solutions for analysis and model training.
• Optimize real-time data streaming and ensure continuous data flow.
• Collaborate with ML engineers, developers, and product teams to deliver data-driven solutions.
• Implement data quality checks, governance policies, and security measures.

Requirements

• 3+ years of experience in data engineering or a related field.
• Proficiency in SQL, NoSQL, Python, or JavaScript.
• Experience with big data technologies (Hadoop, Spark, Kafka).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and their data services.
• Strong understanding of ETL processes, data modeling, and real-time streaming.
• Excellent problem-solving and collaboration skills.