Senior Data Engineer

Highlights

Responsibilities

• Perform analytical and technical tasks to complete special and ongoing projects requiring extensive research, data collection, and detailed analysis, following departmental guidelines, policies, and procedures.
• Provide complex analytical, technical, and administrative support to facilitate day-to-day operations.
• Respond to complex inquiries from administrators.
• Exercise independent judgment to troubleshoot and resolve issues.

Key Skills Requirements

• 2-4 years of experience in a similar role.
• Strong desire to learn cloud technologies, Python, and Spark to build resilient data pipelines.
• Experience with SQL and relational databases.
• Experience with cloud platforms such as Snowflake, Databricks, and Azure Data Factory (ADF)
• Familiarity with data warehousing concepts and ETL processes.
• Knowledge of data modeling, data integration, and data quality principles.
• Proficiency in scripting languages such as Python or Scala.
• Understanding CI/CD processes and tools like Jenkins or GitLab.
• Experience with containerization technologies like Docker and Kubernetes.
• Solid analytical and problem-solving skills involving sound decision-making and effective resolutions.
• Strong planning and organizational skills involving managing multiple work streams effectively.
• Ability to work within a team to meet established project goals.
• Ability to communicate professionally, concisely, and effectively, both verbally and in writing, to internal and external stakeholders.
• Self-starter with the ability to work independently while supporting a team environment.
• Data analysis and mapping skills with strong attention to detail and concern for data accuracy.
• Intermediate knowledge of SQL concepts, practices, and procedures related to relational databases.
• Bachelor's Degree or Post Graduation in Computer Science, IT, or a related field.