Data Engineer - Azure Data Lake ADL Job

YASH Technologies

Indore District

On-site

INR 1,000,000 - 1,800,000

Full time

2 days ago
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Job summary

YASH Technologies is seeking an Azure Data Engineer with 4–6 years of experience to work on Azure Data Lake, Data Factory, Databricks and related data engineering tasks in India.

You will design, develop and maintain scalable data pipelines, collaborate with stakeholders, and ensure data quality across Dev/QA/Prod environments in a fast-paced hyperlearning workplace.

Qualifications

  • Proficient in Azure Data Lake, Data Factory, Pipelines and Databricks.
  • Strong SQL, Python and PySpark / Spark-SQL skills.
  • Experience with data warehousing, ETL design and web tech.
  • Experience with CI/CD and DevOps for data platforms.
  • Data validation, quality checks and proper documentation.

Responsibilities

  • Develop and maintain data pipelines across Dev, QA and Prod.
  • Build and manage Databricks workflows.
  • Collaborate with stakeholders and ensure data quality.

Skills

Azure Data Lake
Data Factory
Pipelines
Databricks
SQL
Python
PySpark
Spark-SQL
Web tech
Relational DBs
Data warehousing
ETL design
CI/CD
DevOps
Data validation
Documentation

Job description

Job Description:

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hireAzure Data Lake (ADL) Professionals in the following areas :

Job description:

Role - Azure Data Engineer
Exp - 4-6 years

Skills - Azure Data Lake, Data Factory, Pipelines, Databricks

  • SQL, Python, PySpark / Spark-SQL
  • Web tech, relational DBs, data warehousing, ETL design
  • Strong analytical & stakeholder communication skills
  • Execute day-to-day pipeline development, CI/CD and platform DevOps tasks
  • Build and maintain Databricks workflows across Dev, QA and Prod environments
  • Data validation, quality checks, documentation and communication.

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles
  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture
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