At least 2 years of proven experience as a
Data Engineer
or similar role dealing with
data and ETL
processes.

· Strong knowledge of
Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen
2.

· Experience utilizing
SQL DML
to query modern
RDBMS
in an efficient manner (e.g.,
SQL Server, PostgreSQL
).

· Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).

· Experience with
big data technologies
(e.g., Spark).

· Solid problem-solving skills and attention to detail.

· Excellent communication and collaboration skills.

Preferred Qualifications:

· Learning agility

· Technical Leadership

· Consulting and managing business needs





· Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted.

· Experience building spark applications utilizing PySpark.

· Experience with file formats such as Parquet, Delta, Avro.

· Experience efficiently querying API endpoints as a data source.

· Understanding of the Azure setting and related services such as subscriptions, resource groups, etc.

· Understanding of Git workflows in software development.

· Using Azure DevOps pipeline and repositories to deploy and maintain solutions.

· Understanding of Ansible and how to use it in Azure DevOps pipelines

DM Resume @ [email protected]

📌 Azure Data Engineer || Python Must || 8+ Yrs || Bengaluru
🏢 Innova ESI
📍 Bengaluru