Job Description
Job DescriptionJob Summary
We are seeking a highly skilled Data Engineer with strong expertise in designing, developing, and optimizing data pipelines, analytics platforms, and business intelligence solutions. The ideal candidate should have hands-on experience in SQL, Python, Tableau, Snowflake, and large-scale data processing environments. The role requires working closely with business stakeholders to transform raw data into actionable insights and support strategic decision-making.
Key Responsibilities
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Design, develop, and maintain scalable data pipelines and ETL processes.
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Build data foundations and analytics solutions from large-scale structured and unstructured datasets.
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Develop dashboards and reporting solutions using Tableau and other BI tools.
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Perform data analysis to identify trends, anomalies, and business opportunities.
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Collaborate with cross-functional teams to define KPIs and data requirements.
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Develop automated monitoring and alerting solutions for data quality and business metrics.
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Support data migration, integration, and modernization initiatives.
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Optimize data models and SQL queries for performance and scalability.
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Ensure compliance with data governance, security, and reporting standards.
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Participate in Agile ceremonies, backlog grooming, and sprint planning activities.
Required Skills
Technical Skills
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SQL, SAS SQL, MySQL
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Python
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Tableau
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Snowflake
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Data Warehousing
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ETL Development
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Data Modeling
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Business Intelligence & Analytics
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Dashboard Development
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Data Visualization
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Google Analytics
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SAP Business Objects
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JIRA and Agile Methodologies
Preferred Skills
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AI/ML-enabled analytics and automation tools
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Cloud-based data platforms
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Data Monitoring and Alerting Frameworks
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Experience working with large-scale user analytics and telemetry data
Role Description
Data Engineer
Essential Skills
Data Engineer
Desirable Skills
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Keywords
BI Data Visualization - Tableau | Agile Way of Working | Python
Experience Required
4–6 Years