##JobsinIslamabad #Dataengineer #DataengineerJobs #itjobs #jobsinkarachi #jobsinlahore


Status: Open (accepting applications)

Positions: Multiple

Our Client is looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. They will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Also want to see a passion for machine-learning and research.

Candidate Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

Requirements and Skills

  • Proven experience as a Data Scientist or Data Analyst
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills
  • Bachelor’s degree in computer science or Data Science or other quantitative field is preferred

Interested Candidates can apply at site OR apply by sending your resume while mentioning position applied for in subject at sourcing@zeetechsolution.com well before 30th June 2022

Data Engineer | Redshift (Working USA EST 8 Hours between 6AM-6PM EST)

Status: Closed | Resource Hired

Job description

At least 3 years of experience with data engineering emphasis on data pipelines
Storage S3, Redshift, Experience
Well Versed with AWS CLI and Console
Ability to write Lambda
Strong experience with SQL and Relational database engineering ( will consider strong Oracle, SQL Server, Teradata and expert level SQL abilities)
Exposure to large databases
Multiple years of Experience developing with Python
Must have used GIT
Experience with GLUE will be a PLUS
Experience with Kinesis (SQS, SNS) will be a plus.