Tech Lead TECHM-JOB-23846

Keylent, Inc.

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data engineering and analytics
  • Strong expertise in Azure Analytics Services
  • Proficient in SQL, PySpark, ADF, Synapse, and Databricks
  • Ability to work independently and deliver quickly
  • Experience in troubleshooting data issues and performance monitoring
  • Familiarity with the healthcare industry preferred

Responsibilities

  • Evaluate business needs and objectives to align data solutions
  • Develop data models and database pipeline architectures in Azure
  • Conduct complex data analysis and present results
  • Prepare and optimize data for predictive modeling
  • Build algorithms and prototypes for data solutions
  • Collaborate with data scientists and architects to improve data quality
  • Monitor and schedule ETL jobs for optimal performance

Benefits

  • Opportunity to work with cutting-edge Azure technologies
  • Collaborative environment with data scientists and architects
  • Independently manage and execute data projects
  • Focus on impactful data analytics in a healthcare context
  • Work in a dynamic and fast-paced setting
Full Job Description
Role: Azure Data Engineer Location: Jersey City NJ Skill:Azure Analytics Services Experience:10+ years Job Description Evaluate business needs and objectives. Develop data models and database pipeline architectures on Azure environment. Perform data mining, segmentation and interpret trends and patterns. Conduct complex data analysis and report on results. Prepare data for prescriptive and predictive modeling. Build algorithms and prototypes. Explore ways to enhance data quality and reliability. Identify opportunities for data acquisition and develop programs. Collaborate with data scientists and architects to enhance the data quality. Work independently on SQL, PySpark, ADF, Synapse, Databricks. Candidate should be able to work independently and be productive from day 1. SQL, PySpark, ADF, Synapse, Databricks Azure experience is important (AWS is not good enough) Troubleshooting & fix issues reported and support data needed of customer user community. Schedule and Monitor ETL jobs with optimal performance. Good to have Healthcare experience.

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