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Data Engineer - Infrastructure Systems

Key Qualifications
4+ years of industry experience in a Data Engineering role with experience in designing and implementing scalable data pipelines, data services, and data products.
Ability to present and articulate key performance metrics to collaborators and executives.
Ability to construct and understand advanced structural query language (SQL) scripts.
Ability to adapt data deliverables for frequent and unexpected operational changes as needed to support improved customer experience across multiple business units.
Experience in producing powerful visualizations and dashboards that balance both art and science, focusing on usability and interpretation.
Extensive experience in using visualization tools to deliver concrete insights. Tableau/D3 skills are must to have. And certification would be a delight.
Programming experience in building high quality software. Skills with Python, Shell, Perl preferred.
Proficiency in SQL in the MPP/No SQL databases like Vertica, Snowflake, Redshift in a large scale environment
Strong ability to learn new technologies related to Data Engineering and Advanced Analytics.
Demonstrate ability to work well independently and within a fast-paced, team-oriented environment.
Knowledge in engineering machine learning, feature engineering systems is a plus.
As a Data Engineer, we look forward to your developing some of the key components of the platform including the data pipelines, dashboard & reports. Collaborate with multi-functional teams to gather requirements and mentor junior members in the team. You will be contributing to key and innovative technologies which supports major Apple applications, with all the scalability and high-availability requirements that entails. - Gather and communicate data capture requirements for new and existing customer facing platforms. - Conduct end-to-end analysis across all of the data points, including data gathering from large and complex datasets. - Develop and automate large scale, high-performance, scalable data pipelines - Experience in building and maintaining custom frameworks to support engineering/analytics needs - Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions. - Create new metrics for performance measurement and advocate for changes to existing metrics where needed. - Develop and maintain complex Tableau dashboards, aggregating data from multiple data sources. Support Tableau developers by writing complex SQL queries and providing easily queryable datasets in the form of Tableau extracts & data sources. - Work with technical teams-including DBA, SREs, Tools & data engineering-to ensure proper functioning of all data pipelines and health of data warehouse.
Education & Experience
BE / B.Tech in computer science or equivalent field.
Hyderabad, UP, IN