Advance Auto Parts Hiring for Data Engineer I – Pricing at Hyderabad, Telangana Full Time

We are looking for a savvy Data Engineer to join our growing team of analytics experts in Pricing group. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

The person must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Responsibilities for Data Engineer

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 Azure/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 and teams to assist with data-related technical issues and support their data infrastructure needs

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

Qualifications for Data Engineer

Around 2-4 years of relevant experience.

BTech/MS in Computer Science Engineering or related technical field from a reputed institute.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Experience supporting and working with cross-functional teams in a dynamic environment.

Excellent problem solving and troubleshooting skills

Tools and Language Exposure

They should also have experience using the following software/tools:

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with AWS cloud services: EC2, EMR, RDS, Redshift or Azure cloud platform service : Databricks, Synapse, PowerBI etc.

Experience with object-oriented/object function scripting languages: Python, R, Java, C++, Scala, etc.

Experience with big data tools: Hadoop, Spark, Kafka, etc.