Job Location: Delhi, India
Job Responsibilities and Requirements –
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Required Qualifications and Skills –
• Bachelor in Technology (pursuing MBA, preferred)
• Experience of 2-5 years in required fields.
• Knowledge of Python Pythons and SQL.
• A deep understanding and multi-process architecture and excel.
• Ability to integrate multiple data sources into a single system.
• Familiarity with testing tools.
• Ability to collaborate on projects and work independently when required.
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