Advance Auto Parts, a leader in the automotive aftermarket, currently has an opening for a Technical Lead. As a Technical Lead at Advance Auto Parts, you will have an opportunity to disrupt a $100B auto parts industry to bring better and faster solutions to customers. You will be expected to parse, wrangle and transform complex data and build data products to drive actionable insights and help improve our company. You will be part of an elite data management and analytics function to help the organization live its mission of Advancing a World in Motion. You will have the opportunity of building Data Lake, Advanced Analytics, Machine Learning platforms and more.
Role Description:
Be an advocate with obsession for excellence delivering measurable success for Advance Auto Parts stakeholders with secure, scalable, highly available cloud architecture that leverage AWS Cloud services
Develop, maintain, support data products
Primary Skills: Data Engineering, Python Apache Spark, SQL, GIT, Docker/Containers, Cloud Like AWS, AWS EMR, EC2/Azure/Snowflake.
Secondary Skills: Data analysis and Visualizations – Power BI/Tableau/Visualization Using Python Packages.
Good to Have: CI/CD pipeline
Ability to build frameworks and pipelines using AWS EMR, PySpark and Python
Ability to read data from FTP, REST API’s & tables, transform and publish data for analytics and data science team.
Fair understanding on unstructured, semi-structured data, File formats and ability to optimize applications to achieve better performance.
Able to build KPI’s & visualizations for better insights, so that stake holders can take business decisions
Able to write SQL for solving complex business problems in snowflake.
Understanding on database & data modelling for organizing data in a most precise way.
Good knowledge on GIT, Jenkins, CI/CD Pipelines, Docker/Containers.
Should be able to assess the current environment and propose the ETL Solutions
Propose Standard and Best Practices by leveraging AWS Services such as EC2, EMR, RDS, Cloudwatch etc ..
Apply creative thinking/approach to arrive at technical solutions that enhance business goals and align with corporate technology strategies.
Help Application teams in onboarding the feeds into the built-in frameworks
Develop prototypes, technical proof of concepts and code with various solutions and convert platform architecture blueprints to real life working artifacts
Education and/or experience
Bachelor’s degree in Computer Science or related; and
8-10 years of professional experience in data engineering, or related field; or
Equivalent combination of education and experience
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