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Pyspark Data Engineer

VirtusaPolaris - Virtusa Corporation

Dubai

On-site

AED 120,000 - 200,000

Full time

Today
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Job summary

A leading technology consulting firm in Dubai is seeking an experienced data management professional with expertise in Data Architecture and Strategy. The role involves driving delivery in a complex environment and independently managing tasks. Candidates must demonstrate experience in Big Data and strong communication skills, as well as familiarity with data processing frameworks like Hadoop and Spark.

Qualifications

  • Expertise in Data Architecture, Data Strategy and Data Management.
  • Experience in transforming traditional Data Warehousing approaches to Big Data.
  • Strong problem solving, influencing, communication, and presentation skills.

Responsibilities

  • Define workload migration strategies using appropriate tools.
  • Drive delivery in a matrixed environment with various internal IT partners.
  • Work independently and plan, estimate, and schedule tasks.

Skills

Data Architecture
Data Strategy
Data Governance
Data Quality
Big Data
Problem Solving
Communication
Hadoop
Python
Spark

Tools

Hadoop
Spark
Jenkins
Linux
Job description
  • Expertise in Data Architecture, Data Strategy and Roadmap for
  • large and complex organization and systems and implemented
  • large scale end-to-end Data Management & Analytics solutions
  • Experience in transforming traditional Data Warehousing
  • approaches to Big Data based approaches and proven track
  • record of managing risks and data security
  • Expertise with DW Dimensional modeling techniques, Star &
  • Snowflake schemas, modeling slowly changing dimensions and
  • role playing dimensions, dimensional hierarchies, and data
  • classification
  • Experiences in cloud native principals, designs and deployments.
  • Extensive experience working with and enhancing Continuous
  • Integration (CI) and Continuous Development (CD) environments
  • Expertise in Data Quality, Data Profiling, Data Governance, Data
  • Security, Metadata Management, and Data Archival
  • Define workload migration strategies using appropriate tools
  • Drive delivery in a matrixed environment working with various
  • internal IT partners
  • Demonstrated ability to work in a fast paced and changing
  • environment with short deadlines, interruptions, and multiple
  • tasks/projects occurring simultaneously
  • Must be able to work independently and have skills in planning,
  • strategy, estimation, scheduling,
  • Strong problem solving, influencing, communication, and
  • presentation skills, self-starter
  • Experience with data processing frameworks and platforms
  • (Hadoop, Presto, Tez, Hive, Spark etc.)
  • Hands on experience in work with bigdata platforms and related
  • programming languages (e.g. Linux, Python, PySpark, GIT,
  • Jenkins)
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