Data Engineer/Data Analyst

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Able to Provide Sponsorship

Skills

data engineer
data Analyst
Python
ETL

Job Details

Role: Sr. Data Engineer
Location: Remote
Duration: 6+ Months

Duties and Responsibilities:

  • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (e.g., scripts, programs, automation, etc.)
  • Ensures quality of technical solutions as data moves across multiple zones and environments
  • Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
  • Ensures managed analytic assets to support the company s strategic goals by creating and verifying data acquisition requirements and strategy
  • Develops, constructs, tests, and maintains architectures
  • Aligns architecture with business requirements and uses programming language and tools
  • Identifies ways to improve data reliability, efficiency, and quality
  • Conducts research for industry and business questions
  • Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
  • Prepares data for predictive and prescriptive modeling and find hidden patterns using data
  • Uses data to discover tasks that can be automated
  • Creates data monitoring capabilities for each business process and works with data consumers on updates
  • Aligns data architecture to the solution architecture; contributes to overall solution architecture
  • Develops patterns for standardizing the environment technology stack
  • Helps maintain the integrity and security of company data
  • Additional duties as assigned or required

Minimum Qualifications:

  • 7+ Years overall IT experience
  • Enterprise experience in scripting languages primarily Python building enterprise frameworks
  • Enterprise experience in data ingestion methodologies using different etl tools.
  • Enterprise experience in data warehousing concepts and big data technologies
  • Enterprise experience in any cloud infrastructure
  • Strong SQL

Thanks & Regards,

Jagga Rao

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