Data Engineer

Role & responsibilities

• Expertise in AWS services (S3, Glue,

  Lambda

  ).

• Extensive experience with Snowflake

  , including data warehousing, performance tuning, and cost optimization.
• Proficiency in ETL tools, data integration, and API development.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Strong programming skills in Python, SQL, and one or more data pipeline orchestration tools (e.g., Apache Airflow).
• Exceptional problem-solving skills and ability to handle complex data challenges.
• Excellent communication and collaboration skills, with experience working in cross-functional teams.
• Demonstrated experience working within Agile Scrum frameworks to deliver iterative and incremental value.
• Proficient in collaborating with cross-functional Scrum teams, actively participating in key ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives to ensure continuous delivery and improvement.
• Strong understanding of Agile principles and Scrum practices, with a proven track record of effectively breaking down complex projects into manageable sprints and iterations.
• Capable of adapting workflows and processes to enhance efficiency and meet evolving project requirements.
• Experience in utilizing Agile project management tools such as Jira or Trello for tracking progress, managing backlogs, and maintaining transparency with stakeholders.
• Adept at fostering a culture of collaboration, accountability, and continuous feedback within Agile teams.
• Strong understanding of data security, privacy regulations, and compliance.
• Certifications in AWS or Snowflake are a plus.