Job Location: Gurgaon/Gurugram
Job Responsibilities:
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Ability to communicate difficult/sensitive information tactfully.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Knowledge of Big data tools (Athena, Hive, Spark), ETL tools and cloud platforms will be an added advantage.
• Certification in cloud platforms like Azure, AWS, Google will be considered a very good asset
• Designs data integrations and data quality framework.
• Designs and evaluates open source and vendor tools for data lineage.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
• Experience in integrating different data sources like GA, Firebase, Google Ads, Facebook Ads, Clevertap, Branch, Freshdesk, and other data sources commonly used in B2C Apps / Websites.
Skills Required:
• Knowledge of best practices and IT operations in an always-up, always-available service
• Experience with or knowledge of Agile Software Development methodologies
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Excellent oral and written communication skills with a keen sense of customer service
Education, Experience, and Other Requirements:
• BTech /Mtech in Computer Science or a related technical field
• Ability in managing and communicating data warehouse plans to internal clients
• Experience designing, building, and maintaining data processing systems
• Experience working with either a Map Reduce or an MPP system on any size/scale
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