Data Engineer

Skills and Qualifications:

Educational Background:

Bachelor's or master's degree in computer science, Information Technology, Data Engineering, or a related field

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Scala for data processing.
• Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL, MS SQL Server).
• Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase).
• Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).
• Hands-on experience with ETL frameworks and tools (e.g., Apache NiFi, Talend, Informatica, Airflow).
• Knowledge of big data technologies (e.g., Hadoop, Apache Spark, Kafka).
• Experience with cloud platforms (AWS, Azure, Google Cloud) and related services for data storage and processing.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) for building scalable data systems.
• Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence).
• Understanding data modeling concepts (e.g., star schema, snowflake schema) and how they relate to data warehousing and analytics.
• Knowledge of data lakes, data warehousing architecture, and how to design efficient and scalable storage solutions.