Cloud Data Engineer - Greenville, United States - DATASOFT TECHNOLOGIES
Description
Cloud Data EngineerOnsite
About the Job
Duration:
Long-term renewable contract
Location:
Greenville, SC
Pay rate:
Hourly
Job ID: 4819
This is a Full Time W2 position, no subcontracting or C2C.
Overview:
Provides complete application lifecycle development, deployment, and operations support for large-scale batch and real-time data processing pipelines using cloud technologies.
Collaborates with product owners, data scientists, business analysts and software engineers to design and build solutions to ingest, transform, store, and export data in a cloud environment while maintaining security, scalability, and personal data protection.
Responsibilities:
Implements and enhances complex data processing pipelines with a focus on collecting, parsing, cleaning, managing and analyzing large data sets that produce valuable business insights and discoveries.
Determines the required infrastructure, services, and software required to build advanced data ingestion & transformation pipelines and solutions in the cloud.
Applies problem solving experience and knowledge of advanced algorithms to build high-performance, parallel, and distributed solutions.
Performs code and solution review activities and recommends enhancements that improve efficiency, performance, stability, and decreased support costs.
Applies the latest DevOps and Agile methodologies to improve delivery time.
Works with SCRUM teams in daily stand-up, providing progress updates on a frequent basis.
Supports application, including incident and problem management.
Performs debugging and triage of incident or problem and deployment of fix to restore services.
Documents requirements and configurations and clarifies ambiguous specs.
Performs other duties as assigned by management.
Qualifications:
BA/BS Degree in Business, Computer Science or Electrical Engineering preferred or the equivalent of 4 years professional IT related experience.
3+ years of enterprise software engineering experience with object oriented
design, coding and testing patterns, as well as, experience in engineering (commercial or open source) software platforms and large-scale data infrastructure solutions.
3+ years of enterprise data engineering experience within any "Big Data " environment (preferred).
3+ years of software development experience using Python.
2+ years of experience working in an Agile environment (Scrum, Lean or Kanban).
3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies
3+ years of experience in implementing distributed data processing pipelines using Apache Spark
3+ years of experience in designing relational/NoSQL databases and data warehouse solutions
2+ years of experience in writing and optimizing SQL queries in a business environment with large-scale, complex datasets
2+ years of Unix/Linux operating system knowledge (including shell programming).
1+ years of experience in automation/configuration management tools such as Terraform, Puppet or Chef.
1+ years of experience in container development and management using Docker.
Languages:
SQL, Python, Spark
AWS/Azure cloud provider training/certifications (preferred)
Basic knowledge of continuous integration tools (e.g. Jenkins).
Basic knowledge of machine learning algorithms and data visualization tools such as Microsoft Power BI and Tableau
About our Company
DataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services.
Our team member benefits include:
Paid Holidays/Paid Time Off (PTO)
Medical/Dental Insurance Group
Accident/Critical Illness Insurance
Life Insurance
401 (K)
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