Job Description
A client is looking for a junior data analyst to sit remote. Your primary responsbility initially will be to support ongoing data engineering efforts around data pipelines and data cleansing. The team is pulling data from multiple field sources and attempting to cleanse, process, and evaluate the data to get a better pulse on store operations/ sales data. In addition, you will also be assisting with building these data solutions related to ETL, data pipelines, and data models. You will also partner with other data teams to optimize processes and streamline enhancement requests.
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Required Skills & Experience
1-3 years of experience in data engineering with strong hands-on expertise in Python, SQL, PySpark, and AWS services like SQS, Kinesis, Eventbridge, S3, Lambda, etc.
Strong SQL skills, querying, stored procedures
Python skills
Knowledge around data pipelines and ETL
AWS exposure
Nice to Have Skills & Experience
Snowflake
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.