WHAT YOU WILL GET TO DO
- Create the conceptual, logical and physical data models.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, AWS Lambda, etc.
- Lead and/or mentor a small team of data engineers.
- Design, develop, test, deploy, maintain and improve data integration pipelines.
- 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.
- Communicate effectively with client leadership and business stakeholders.
- Participate in proposal and/or SOW development
WHAT YOU BRING TO THE TEAM
- Bachelor's degree in Computer Science, Data Engineering, Electronics Engineering, Data Science or related field of study plus 5 years of experience in related occupations is required.
- 5 years of experience in the following: Designing and implementing data pipelines in a cloud environment; Object-oriented programming using Scala, Python, R, or Java.
- 4 years of experience in the following: Using SQL to write complex, highly-optimized queries across large volumes of data.
- 3 years of experience in the following: ETL pipeline implementation using AWS, Azure or GCP services; Designing/implementing solutions using one or more of the following databases: Snowflake, AWS Redshift, Synapse, Big Query, Oracle, SQL Server, Teradata, Netezza, Hadoop, Mongo DB or Cassandra.
- 2 years of experience in the following: Cloud platforms: AWS, Azure, or GCP.
- Telecommuting is permitted. 40 hours/week.Must also have authority to work permanently in the U.S. Applicants who are interested in this position may apply at www.jobpostingtoday.com Ref# 37814 for consideration.
BENEFITS
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D
- Unlimited Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long-Term Disability
- Employee Assistance Program
- Training & Development
- Work From Home
- Bonus Pro-gram
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What We Do
Wavicle Data Solutions is a trusted cloud, data and analytics consulting and development partner for businesses that want to get more value from growing volumes of data. Well-known brands across industries work with our team of data management experts, cloud migration consultants, and analytics professionals to modernize their data environments; build robust analytics solutions; and leverage machine learning to improve predictive insights. Combining our expertise in big-data architectures with artificial intelligence and machine learning concepts, we help enterprises imagine new ways to manage costs, increase sales, and become more efficient. Whatever your business goal, we’ll help you tap into the right data and get it to the right place at the right time to the right user. Wavicle was founded in 2013 on the principle that modern organizations rely on data to drive their businesses, yet often lack the time, staff, or knowledge to leverage this valuable resource. We invest heavily to stay ahead of the technology curve through ongoing training, certifications, and proof of concept endeavors. We’re also accredited Talend Partners, AWS Partners, Snowflake Partners, Databricks Partners, and Tableau Partners, among others. As technology experts, you count on us to help navigate through the maze of options and challenges to deliver innovative solutions that unlock the potential of your data. Our capabilities include: data engineering and integration services, cloud migration services, modern data architecture services, enterprise data lakes/data warehouse services, ETL migration services, analytics dashboard and reporting development, machine learning model development, and data science services. Headquartered in Oak Brook, IL, USA and Coimbatore, TN, India, Wavicle has more than 500 employees delivering solutions to customers around the globe.
