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Senior Azure Data Engineer

  • AB, Canada
  • Edmonton, AB, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description

Job Description

Job Description

Key Skills & Responsibilities

  • Azure Databricks, PySpark, SQL
  • Azure Data Factory (ADF)
  • ETL/ELT pipeline development and orchestration
  • Data ingestion and integration from SQL Server, Azure SQL Database, and enterprise applications
  • Medallion Architecture (Bronze, Silver, Gold)
  • Delta Lake optimization and Spark performance tuning
  • CI/CD using GitHub Actions and Azure DevOps
  • Data quality, governance, security, and compliance
  • Production support and root cause analysis
  • Architecture modernization and mentoring of junior engineers

Preferred Experience

  • Strong hands-on experience with Azure Databricks and PySpark
  • Experience designing scalable enterprise data platforms
  • Exposure to cloud-based data modernization initiatives
  • Strong stakeholder communication and collaboration skills

Mandatory Skills: Data Engineering Full Stack

Experience: 3-5 Years

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 orchestrate ETL/ELT pipelines, integrate data from databases and enterprise applications, and optimize Azure Databricks, PySpark, and Delta Lake workloads. Support production systems, investigate root causes, contribute to platform modernization and governance, and mentor junior engineers.

Requirements

The role requires 3–5 years of data engineering full-stack experience, with strong hands-on experience in Azure Databricks and PySpark. Preferred experience includes designing scalable enterprise data platforms, participating in cloud modernization initiatives, and communicating effectively with stakeholders.

Skills

  • Azure Databricks
  • PySpark
  • SQL
  • Azure Data Factory
  • ETL/ELT Pipeline Development
  • Data Ingestion and Integration
  • Medallion Architecture
  • Delta Lake
  • Spark Performance Tuning
  • GitHub Actions
  • Azure DevOps
  • Data Quality
  • Data Governance
  • Data Security and Compliance
  • Root Cause Analysis
  • Stakeholder Communication

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Engineering

Keywords

  • Azure Databricks
  • PySpark
  • SQL
  • Azure Data Factory
  • ETL/ELT
  • Data Pipelines
  • Data Ingestion
  • Data Integration
  • SQL Server
  • Azure SQL Database
  • Enterprise Applications
  • Medallion Architecture
  • Bronze, Silver, Gold
  • Delta Lake
  • Spark Performance Tuning
  • CI/CD
  • GitHub Actions
  • Azure DevOps
  • Data Quality
  • Data Governance
  • Data Security
  • Compliance
  • Production Support
  • Root Cause Analysis
  • Enterprise Data Platforms
  • Cloud Data Modernization
  • Architecture Modernization
  • Mentoring

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