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Senior Data Engineer / Data Analyst

  • Mississauga, ON, Canada

The expected compensation for this role ranges from CAD 100000 to CAD 150000 . · Full-time

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Job details

Pay
The expected compensation for this role ranges from CAD 100000 to CAD 150000 .
Job type
Full-time
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Posting language
English
Posted

Original job description

Job Description

Job Description

Experience: 10-12 Years

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.

Mandatory Skills: Big Data

Experience: 8-10 Years

The expected compensation for this role ranges from CAD 100000 to CAD 150000 .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.
More about this job

Responsibilities

Develop and support large-scale data pipelines using Python, PySpark, Scala, and Big Data technologies. Analyze data and business requirements, validate data quality, and optimize solutions through debugging and performance tuning.

Requirements

Requires 10–12 years of experience, including 8–10 years of Big Data experience. Candidates should have strong hands-on Python and PySpark skills, expert SQL proficiency, Scala development experience, and experience with Spark, Hive, Hadoop, ETL/ELT, data analysis, and data quality validation.

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
  • Business Requirements
  • Technical Solutions
  • Debugging
  • Performance Tuning
  • Problem-Solving
  • IT Services
  • Digital Transformation

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