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Data Analytics Engineer

Job Description


Job Description:
  • Work with stakeholders of Managed Networks solutions to identify opportunities for leveraging performance data and operational statistics to drive business solutions.
  • Mines and analyzes data from operational communications network equipment to drive optimization and improvement of service delivery and business strategies, specifically in the areas of Proactive Ops (network incident anticipation and avoidance)
  • Collaborates with analytics and business teams to build and improves data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making.
  • Builds data pipelines to ingest, transform and store data for different use cases.
  • Uses predictive modeling to increase and optimizes customer experiences, process improvements, automation opportunities and other business outcomes.
  • Develops processes and tools to monitor and analyze model performance and data accuracy.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience visualizing/presenting data for stakeholders using Tableau or similar BI tools.
  • Good knowledge of Machine Learning lifecycle management (MLOps)
  • Working knowledge of Relational and NoSQL databases.
  • Excellent written and verbal communication skills for coordinating across teams, with a keen ability to tailor their message based upon audience from management to engineering.
  • A drive to learn and master new technologies and techniques.
  • Knowledge of cloud computing and Infrastructure as a Code (e.g. AWS, Azure, Cloud Formation, Terraform)
  • Experience with distributed data processing engine and stream processing (e.g. Spark, Kafka)
  • Experience with different aspects of Master Data Management (MDM) including data ingestion and storage, data processing and data governance.
  • Experience building Microservices is a big plus
  • Knowledge of Telecom and Networking domain is highly preferred.

Job Requirements


Education:
  • Bachelor’s degree in Computer Engineering, Computer Science, or related field, and minimum 6 years related experience; or a Master’s degree in Computer Engineering, Computer Science, or related field, and minimum 4 years related experience.
  • 4 years’ hands-on experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • 4 years’ experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • 4 years’ experience developing and deploying docker based solutions using tools such as Kubernets, and Helm charts.
  • Able to obtain a security clearance

Job Snapshot

Location US-FL-Orlando
Employment Type Contractor
Pay Type Year
Pay Rate N/A
Store Type IT & Technical
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Company Overview

ACS Solutions

ACS Group provides services to Fortune 1000 companies across various industry verticals. With a proven track record of managing project demands while improving the efficiency, productivity and profitability of new and existing projects through process improvement, ACS Group is consistently recognized for identifying and implementing strategic solutions that create and preserve long-term business value. Learn More

Contact Information

US-FL-Orlando
Naval Sisodia
Snapshot
ACS Solutions
Company:
US-FL-Orlando
Location:
Contractor
Employment Type:
Year
Pay Type:
N/A
Pay Rate:
IT & Technical
Store Type:

Job Description


Job Description:
  • Work with stakeholders of Managed Networks solutions to identify opportunities for leveraging performance data and operational statistics to drive business solutions.
  • Mines and analyzes data from operational communications network equipment to drive optimization and improvement of service delivery and business strategies, specifically in the areas of Proactive Ops (network incident anticipation and avoidance)
  • Collaborates with analytics and business teams to build and improves data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making.
  • Builds data pipelines to ingest, transform and store data for different use cases.
  • Uses predictive modeling to increase and optimizes customer experiences, process improvements, automation opportunities and other business outcomes.
  • Develops processes and tools to monitor and analyze model performance and data accuracy.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Experience visualizing/presenting data for stakeholders using Tableau or similar BI tools.
  • Good knowledge of Machine Learning lifecycle management (MLOps)
  • Working knowledge of Relational and NoSQL databases.
  • Excellent written and verbal communication skills for coordinating across teams, with a keen ability to tailor their message based upon audience from management to engineering.
  • A drive to learn and master new technologies and techniques.
  • Knowledge of cloud computing and Infrastructure as a Code (e.g. AWS, Azure, Cloud Formation, Terraform)
  • Experience with distributed data processing engine and stream processing (e.g. Spark, Kafka)
  • Experience with different aspects of Master Data Management (MDM) including data ingestion and storage, data processing and data governance.
  • Experience building Microservices is a big plus
  • Knowledge of Telecom and Networking domain is highly preferred.

Job Requirements


Education:
  • Bachelor’s degree in Computer Engineering, Computer Science, or related field, and minimum 6 years related experience; or a Master’s degree in Computer Engineering, Computer Science, or related field, and minimum 4 years related experience.
  • 4 years’ hands-on experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • 4 years’ experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • 4 years’ experience developing and deploying docker based solutions using tools such as Kubernets, and Helm charts.
  • Able to obtain a security clearance
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Data Analytics Engineer Apply now