Data Engineer

Data Engineer

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

• 3+ years of Python experience

• 3-5 years of advance SQL experience 

• 5+ years of experience with schema design and dimensional data modeling

• 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