Sr.Python Developer

Company: Wavicle Data
Location: Not Specified, Not Specified, United States
Type: Full-time
Posted: 28.APR.2021

Summary

About Us: Wavicle designs and delivers data and analytics solutions to reduce time, cost, and risk of companies' data projects, improving t...

Description

About Us:

Wavicle designs and delivers data and analytics solutions to reduce time, cost, and risk of companies' data projects, improving the quality of their analytics and decisions now and into the future. As a privately-held consulting service organization with popular, name brand clients across multiple industries, Wavicle offers exciting opportunities for data scientists, solutions architects, developers, and consultants to jump right in and contribute to meaningful, innovative solutions.

Our 250+ local, nearshore and offshore consultants, data architects, cloud engineers, and developers build cost-effective, right-fit solutions leveraging our team's deep business acumen and knowledge of cutting-edge data and analytics technology and frameworks.

At Wavicle, you'll find a challenging and rewarding work environment where we enjoy working as a team to exceed client expectations. Employees appreciate being part of something meaningful at Wavicle. Wavicle has been recognized by industry leaders as follows:

  • Chicago Tribune's Top Workplaces
  • Inc 500 Fastest Growing Private Companies in the US
  • Crain's Fast 50 fastest growing companies in the Chicago area
  • Talend Expert Partner recognition
  • Microsoft Gold Data Platform competency

Responsibilities:

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, AWS Lambda, etc.
  • Experience with AWS Cloud on Data Integration with Apache Spark, EMR, Glue, Kafka, Kinesis and Lambda in S3, Redshift, RDS, and MongoDB/DynamoDB ecosystems.
  • Strong real-life experience in Python development, especially in PySpark in AWS Cloud environment.
  • Design, develop, test, deploy, maintain and improve data integration pipeline.
  • Develop pipeline objects using Apache Spark / Pyspark / Python or Scala.
  • Design and develop data pipeline architectures using Hadoop, Spark and related AWS Services.
  • Load and performance test data pipelines built using the above-mentioned technologies.

Required Knowledge and Level of Experience:

  • At least 5 years of experience with AWS and Python programming, experience with Python frameworks (e.g., Django, Flask, Bottle)
  • Expert level knowledge of using SQL to write complex, highly-optimized queries across large volumes of data.
  • Working experience on ETL pipeline implementation using AWS services such as Glue, Lambda, EMR, Athena, S3, SNS, Kinesis, Data-Pipelines, Pyspark, etc.
  • Hands-on experience using programming language Scala, Python, R, or Java.
  • Expert level knowledge of using SQL to write complex, highly-optimized queries across large volumes of data.
  • Knowledge or experience in architectural best practices in building data lakes.
  • Strong problem solving and troubleshooting skills with the ability to exercise mature judgement.

Equal Opportunity Employer

Wavicle is an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We welcome and encourage diversity in the workplace regardless of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status.

- provided by Dice

 
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