Data Engineer/Architect
Avi Web SolutionsPittsburgh, Pennsylvania, United States
Posted October 27, 2021
Full Time
About the Company
Avi Web Solutions, founded in 2010, delivers end-to-end IT services—including web design, web application development, CRM implementation, and print/graphic design—to small and medium-sized enterprises worldwide. With a nearshore UK facility and development centers in Ahmedabad, the company supports clients in the UK, USA, Australia, and Singapore, consistently earning repeat business from over 90% of its customers. Avi Web Solutions differentiates itself through a client-first philosophy, rigorous quality standards, and a culture of innovative, out-of-the-box problem solving that turns complex legacy systems into reliable, maintainable solutions. The firm’s core values of integrity, operational excellence, and precise quality underpin its reputation as a trusted partner on its clients' growth journeys.
Job Description
We are looking for a Data Engineer/Architect to own responsibility for extracting, transforming, and preparing data from various data sources to centralized stores for analysis and platform application access.
Requirements
- 5+ years of experience in data query and manipulation technologies including SQL, Python, etc
- Strong Cloud-based data warehouse/data lake platforms experience (Redshift, BigQuery, Azure, Snowflake)
- Preparing reliable, production-scale data movement/ETL pipelines / schedulers to provide reliable data transport (Snowflake, AWS Glue, AWS Data Wrangler) to feed applications and machine learning environments in the cloud using industry-leading frameworks (SageMaker, TensorFlow, MXNet, etc)
- Identify and incorporate new sources of data or data partners/ interfaces to provide additional data augmentation for richer demographic and personal interest data
- Evaluate and recommend investments in new tools and technologies that speed progress or produce more reliable answers
- Strong familiarity with applying data analytics and statistical techniques to real-world problems
- Comfort with popular data science tools and platforms such as Python, R, Jupityr notebooks, SageMaker, Tensorflow, MxNet, etc
- Ability to work highly independently or with a team to provide clear recommendations that improve results with their data-based insights
Benefits
- 401(k) with employer match
- Profit-sharing retirement plan
- Medical, prescription, vision, and dental insurance
- Paid time off
- Quarterly incentive bonus