Data Engineer

mail me at srini@tech9itsolutions.com

Data Engineer

Summary:

We are seeking a skilled Data Engineer to design, build, and maintain our data

processing systems using Azure cloud technologies. The ideal candidate will

leverage Databricks, Azure Data Factory (ADF), and other Azure services to

transform raw data into valuable business insights while ensuring scalability,

reliability, and performance of our data infrastructure.

Key Responsibilities

∙Design and implement end-to-end data pipelines using Azure Data Factory

and Databricks

∙Develop, optimize, and maintain ETL/ELT processes to ingest data from

various sources

∙Write efficient SQL queries and stored procedures for data extraction and

transformation

∙Create and maintain Databricks notebooks using Python for data processing

and analysis

∙Implement data quality checks and monitoring solutions

∙Collaborate with data scientists and analysts to understand data requirements

∙Participate in code reviews and maintain documentation

∙Implement CI/CD pipelines for data solutions using GitHub

∙Optimize data models for performance, scalability, and cost-efficiency

∙Ensure data security and compliance with organizational policies

Required Skills & Experience

∙Bachelors, Master's or Ph.D. degree in Computer Science, Mathematics,

Statistics, or related field

∙5+ years of experience in data engineering roles

∙Strong proficiency in SQL for complex data manipulation and querying

∙Python and PySpark programming expertise with focus on data processing

libraries

∙Hands-on experience with Azure Databricks and Delta Lake

∙Experience building and orchestrating data pipelines with Azure Data

Factory

∙Familiarity with Azure services such as Azure SQL, Azure Storage, Azure

Synapse Analytics

∙Experience with version control using GitHub and CI/CD practices

∙Knowledge of data modeling techniques and best practices

∙Understanding of data warehousing concepts and dimensional modeling

∙Experience with data large-scale data processing

Preferred Qualifications

∙Knowledge of Azure DevOps for pipeline automation

∙Familiarity with real-time data processing technologies

∙Experience with NoSQL databases

∙Azure certifications (Data Engineer, Solutions Architect)

∙Experience with data visualization tools (Power BI, Tableau)

∙Understanding of data governance and compliance requirements