Tech Mahindra

Advance Data Engineer

Tech Mahindra$100K — $125K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering roles.
  • Proficient in Python, PyTest, and PySpark with knowledge of software engineering best practices.
  • Strong understanding of Object-Oriented Programming (OOP).
  • Experience with Azure cloud platforms, specifically Databricks and Delta Live Tables.
  • Expertise in designing and implementing data architectures and models.

Responsibilities

  • Design, build, and maintain scalable automated data pipelines for both batch and streaming data.
  • Implement data architecture that meets business requirements for processing and reporting.
  • Utilize workflow orchestration tools for efficient execution of data pipelines.
  • Establish monitoring and alert systems to ensure pipeline performance and address issues proactively.
  • Participate in Agile methodologies during project development cycles.

Benefits

  • Medical, vision, dental, life, and disability insurance.
  • Paid time off including holidays, parental leave, and sick leave as mandated by law.
Full Job Description
Job Summary

This job posting is for an existing, active vacancy and We are looking to hire Advance Data Engineer in Canada (WFH), immediately who has strong experience in Python, PyTest, PySpark , Databricks and Delta Live Tables.

Role Overview:

Mandatory Skill:
  • Programming Languages: Proficient in Python, PyTest and PySpark with a strong understanding software engineering best practices.
  • Oops Concept: Strong Knowledge of It.
  • Cloud Computing: Utilize Azure cloud-based data platforms, specifically leveraging Databricks and Delta Live Tables for data engineering tasks, while effectively utilizing services related to storage, compute, and security.
  • Data Pipelines: Design, build, and maintain robust and scalable and automated data pipelines for batch and streaming data ingestion of data and processing (Data bricks workflow).
  • Data Architecture and Modeling: Design and implement robust data models and architectures that align with business requirements and support efficient data processing, analysis, and reporting.
  • Orchestration: Utilize workflow orchestration tools to automate data pipeline execution and dependency management.
  • Monitoring and Alerting: Integrate monitoring and alerting mechanisms to track pipeline health, identify performance bottlenecks, and proactively address issues.
  • Strong Agile principles: Utilize Agile development methodologies, actively participating in sprint planning, daily stand-ups, sprint reviews, and retrospectives. Be flexible and adaptable to changing requirements and priorities throughout the project lifecycle.
  • Unity Catalog

Good to Have:
  • Github Actiom
  • Datagog exposure
  • Data Quality: Implement data quality checks and balances throughout the data pipeline, including profiling, validation, and root cause analysis, to ensure data accuracy, completeness, and consistency.
  • CI/CD: Implement continuous integration and continuous delivery (CI/CD) practices for automated testing and deployment of data pipelines.


The pay range for this role is CAD $100,000 - CAD $125,000* per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.

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