Senior Data Engineer

Provide business insights, while leveraging internal tools and systems, databases and industry data

• Ability to document requirements, data lineage, subject matter in both business and technical terminology.

• Guide and learn from other team members.

• Demonstrated ability to transform business requirements to code, specific analytical reports and tools

• This role will involve coding, analytical modeling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers other engineering team.

Minimum Qualifications

• Very Strong engineering skills. Should have an analytical approach and have good programming skills.

• Minimum of 5+ years' experience. Experience in retail business will be a plus.

• Excellent written and verbal communication skills for varied audiences on engineering subject matter

Must Have

• Strong analytical background

• Self-starter

• Must be able to reach out to others and thrive in a fast-paced environment.

• Strong background in transforming big data into business insights

Technical Requirements

• Knowledge/experience on Teradata Physical Design and Implementation, Teradata SQL Performance Optimization

• Experience with Teradata Tools and Utilities (FastLoad, MultiLoad, BTEQ, FastExport)

• Advanced SQL (preferably Teradata)

• Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.).

• Strong Hadoop scripting skills to process petabytes of data

• Experience in Unix/Linux shell scripting or similar programming/scripting knowledge

• Experience in ETL/ processes

• Real time data ingestion (Kafka)

• BS degree in specific technical fields like computer science, math, statistics preferred

Education