Data Engineer

The Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Be a player coach & help the team implementing new technical solutions & analyses.
• Assess the effectiveness and accuracy of new data sources and data gathering technique.
• Develop custom data models and algorithms to apply to data sets.
• Thorough understanding on Data warehousing concepts.
• Identify opportunities & common themes in existing & new data pipelines configured to support customer DWHS and find ways to address them.
• Optimize joint development efforts through appropriate database use and project design.
• Present information using data visualization techniques.
• Excellent communication and presentation skills.
• Serve as primary contact for customer DWH maintenance & support related issues.
• Document all processes and research
• Keep up-to-date with latest technology trends.
• Flexibility with working hours (cross time zones).

The Requirements:

• Bachelor's degree in Computer Science, Engineering or a related technical field.
• Minimum of 3 to 4 years of work experience in a similar capacity.
• Required hands on exposure with toolkits - R/Python/SQL/Data engineering in different environments (data warehouse/ big data/cloud storage - AWS/Azure).
• Proficient SQL knowledge with comfort writing & editing complex queries & optimizing.
• Hands on knowledge and use of industry leading tools like Microsoft Power BL
• Familiar with ETL Tools Heva/SSI/Informatica or Talend.
• Hands on experience building & maintaining a cloud based data eco system.
• Experience in data modeling & transformation (ideally DBT).
• Experience in Airflow or related task scheduler would be an added advantage

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