Senior Data Engineer

1 month ago


Bengaluru, Karnataka, India Mazenet solution Full time

Company Overview

Mazenet solution is a leading IT service provider with a strong presence in the market. Our company is headquartered in Chennai and offers innovative solutions in various IT domains.

Job Overview

We are seeking an experienced Cloud Data Platform Engineer to join our dynamic team. This is a mid-level, full-time position with the flexibility to work in various locations. The ideal candidate should have a minimum of 4 years of relevant work experience in the field of data engineering and cloud computing.

Qualifications and Skills

  • Proven experience of at least 4 years working with the Azure Cloud Platform.
  • Solid expertise in Databricks and Apache Spark, including experience with Spark SQL and the Delta Lake framework.
  • Strong proficiency in Python programming for data engineering and data science applications.
  • In-depth understanding of ETL processes and data transformation techniques for large datasets.
  • Hands-on experience with SQL for data querying, manipulation, and optimization.
  • Experience with building and managing data pipelines on cloud platforms.
  • Knowledge of best practices for data security and data governance in cloud environments.
  • Excellent analytical skills with the ability to troubleshoot complex data issues and devise effective solutions.

Roles and Responsibilities

  • Design, develop, and maintain scalable data engineering pipelines using Azure Databricks and Apache Spark.
  • Collaborate with data scientists and analysts to integrate data processing solutions into business workflows.
  • Implement ETL processes to ingest, transform, and load large volumes of data from various sources.
  • Optimize and monitor data pipelines to ensure high performance and reliability.
  • Develop and enforce data quality standards and protocols.
  • Leverage Python and SQL to perform data preprocessing, analysis, and visualization tasks.
  • Stay updated with the latest advancements in Azure cloud technologies and Databricks features.
  • Provide technical support and guidance to junior team members and other stakeholders as needed.


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