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Senior Data Engineer

  • Mississauga, ON, Canada

Full-time

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Job details

Job type
Full-time
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Experience
Mandatory Skills: Big Data , 10-12 Years over all experience
Posting language
English
Posted

Original job description

Sr Data engineer/Data Analyst– Onsite

Location : Mississauga, ON

Duration: Fulltime

Job Description:

Mandatory Skills: Big Data , 10-12 Years over all experience

Required Skills

Strong hands-on experience in Python and PySpark.

Expert-level proficiency in SQL for data analysis, reporting, and optimization.

Strong experience with Big Data technologies and distributed computing frameworks.

Hands-on development experience in Scala.

Experience in data analysis, data profiling, and data quality validation.

Strong understanding of ETL/ELT processes and large-scale data pipelines.

Experience working with Spark, Hive, Hadoop, and related Big Data ecosystems.

Ability to analyze complex business requirements and translate them into technical solutions.

Strong debugging, performance tuning, and problem-solving skills

More about this job

Responsibilities

Develop and support large-scale data pipelines using Big Data technologies and distributed computing frameworks. Analyze data and business requirements, validate data quality, and optimize solutions for performance.

Requirements

Requires 10–12 years of overall experience, strong hands-on Python and PySpark skills, expert SQL proficiency, and hands-on Scala development experience. Candidates should also have experience with Spark, Hive, Hadoop, ETL/ELT, data analysis and profiling, data quality validation, debugging, and performance tuning.

Skills

  • Python
  • PySpark
  • SQL
  • Big Data
  • Distributed Computing
  • Scala
  • Data Analysis
  • Data Profiling
  • Data Quality Validation
  • ETL/ELT
  • Data Pipelines
  • Spark
  • Hive
  • Hadoop
  • Debugging
  • Performance Tuning

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Python
  • PySpark
  • SQL
  • Big Data
  • Distributed Computing
  • Scala
  • Data Analysis
  • Data Profiling
  • Data Quality Validation
  • ETL/ELT
  • Large-Scale Data Pipelines
  • Spark
  • Hive
  • Hadoop
  • Data Reporting
  • SQL Optimization
  • Debugging
  • Performance Tuning
  • Problem-Solving
  • Business Requirements
  • Technical Solutions

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