drjobs Senior Data Engineer

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Job Location drjobs

Bangalore Rural - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Experience: 8Years

Location: Chennai Bangalore

Notice Period : Immediate to 30 days

Mode: WFO

Role : Data Engineer

Role Overview:

The Data Engineer role involves designing and implementing efficient data models creating scalable data pipelines and managing data lakes. The candidate will also develop and maintain CI/CD pipelines for seamless integration and deployment of data solutions.

The ideal candidate should have expertise in big data tools particularly on the Azure Stack including Azure Data Factory (ADF) Databricks Synapse Analytics and Azure DevOps. Proficiency in Spark (Scala/Python) SQL and strong analytical skills for handling structured and unstructured datasets is essential.

This position is part of the Data Engineering team responsible for enterprisewide data solutions. The team focuses on data collection organization governance and access management to drive productivity efficiency and informed decisionmaking across the organization..

Key Responsibilities:

  • Design develop test and operate largescale highvolume highperformance data solutions for analytics and reporting.
  • Leverage best engineering practices to build frameworks for data ingestion curation and consumption.
  • Implement data structures with best practices in data modeling ETL processes and OLAP technologies.
  • Model data and metadata for ad hoc and prebuilt reporting requirements.
  • Deliver highquality reliable data to support business needs.
  • Collaborate with product and technical teams to build robust and scalable data integration pipelines using SQL Python and Spark.
  • Adhere to coding and data management best practices.
  • Communicate effectively with crossfunctional teams including product business and other data teams.


Qualifications:

  • Bachelor s or Master s degree in Engineering Computer Science or a related field (or equivalent work experience).
  • 2 4 years of handson experience in Data Engineering Data Modeling Data Warehousing and ETL pipelines.
  • Proficiency in SQL Scala/Python (PySpark) Shell/Python scripting and CI/CD tools like Git.
  • Experience with Azure data stack tools such as ADLS ADF Synapse Analytics Databricks Azure DevOps or an equivalent technology stack.
  • Strong analytical data profiling and problemsolving skills.


Remote Work :

No

Employment Type

Full Time

Company Industry

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