Sr. Data Engineer

This is a remote position.

Who are we looking for:

We are looking for multiple Senior Data Engineers to help drive the delivery of scalable data and analytics solutions, implement and integrate new technologies, manage and evolve the data lake. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong eye for business, and an innate drive to deliver results. This person will be technically proficient and excel at collaborating with engineers, analysts, and business partners. The ideal candidate is a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.

What will you work on:

In this role, you will build and deliver scalable data and analytics solutions focused on our Direct, Supply Chain, and Commercial space. You will design, implement and integrate new technologies and evolve data and analytics products. You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.

Who will you work with:

We are looking for this person to join the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization. You’ll be working closely with hard-working teams - Internal partners, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers. One of our maxims is “Win as a Team” and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.

Requirements

What you bring

• Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience
  
• 4+ years relevant work experience in the Data Engineering field
  
• Experience building scalable, real-time and high-performance cloud data lake solutions
  
• 2+ years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
  
• Strong experience with relational SQL and programming languages such as Python, Scala, or Java
  
• Experience with source control tools such as GitHub and related CI/CD processes
  
• Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
  
• Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  
• Experience provisioning RESTful API’s to enable real-time data consumption
  
• Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc.
  
•  Experience with data warehouses/RDBMS like Snowflake & Teradata
  
• Experience with workflow scheduling tools like Airflow
  
• Strong understanding of algorithms, data structures, data architecture, and technical designs.
  
• Has a strong problem solving and analytical approach
  
• Proven ability to influence and communicate effectively with team members and business partners
  
• Proven track record to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions.
  

Top Skills:

• Big data Engineering
  
• Spark
  
• Python
  
• SQL