Data Analyst at General Motors in Detroit, MI

RESPONSIBILITIES:

- Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards

- Create and maintain optimal data pipeline architecture

- You will assemble large, complex data sets that meet functional / non-functional business requirements

- You will identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

- Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics

- Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs

- Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members

REQUIREMENTS:

- At least 3 years of hands on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.

- You have mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra

- Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer

- Stream-processing systems: Storm, Spark-Streaming, etc.

- 7 or more years with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

- Ability to tackle problems quickly and completely

- Ability to identify tasks which require automation and automate them

- A demonstrable understanding of networking/distributed computing environment concepts

- Ability to multi-task and stay organized in a dynamic work environment

PREFERRED:

- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

- AWS cloud services: EC2, EMR, RDS, Redshift