Data Engineer

Required Qualifications

Education & Experience

• Experience: 3 - 5 years of professional experience in a Data Engineering, Software Engineering, or similar role.
• Academic: Bachelor of Engineering or Master of Computer Applications in Computer Science, Information Technology, or a related quantitative field.

Core Technical Skills

• Stream Processing: Deep expertise in Apache Flink (or similar technologies like Apache Kafka Streams/Spark Streaming).
• Programming: Strong proficiency in Java. Python is a significant plus.
• Data Warehousing: Hands-on experience with cloud data warehouses, specifically Snowflake.
• Databases: Expertise in analytical databases like StarRocks DB and strong familiarity with traditional relational (e.g., PostgreSQL, MySQL) and NoSQL databases.
• Data Fundamentals: Strong understanding of Data Engineering principles, including data modeling (e.g., Dimensional Modeling, Data Vault), schema design, and data governance.

Desired Industry-Standard Skills and Tools

• Cloud Platforms: Experience with major cloud providers (AWS, Azure, or GCP) services relevant to data (e.g., S3/ADLS/GCS, EMR/Dataproc, Lambda/Cloud Functions).
• Data Orchestration: Proficiency with workflow management tools like Apache Airflow or similar (e.g., Dagster, Prefect).