Job Description

Overall, 4 to 8 years of experience in IT Industry.

Min 4 years of experience working on Data Engineering using Azure Databricks, Synapse, ADF/Airflow.

At least 3 Project experience in Building and maintaining ETL / ELT pipelines for large data sets, complex data processing, transformations, business logics, cost monitoring & performance optimization, and feature engineering processes.

Must Have skills:

Extensive experience with Azure Databricks (ADB), Delta Lake, Azure Data Lake Storage (ADLS), Azure Data factory (ADF), Azure SQL Database (SQL DB), SQL, ELT / ETL Pipeline Development in Spark based environment.

Extensive Experience with SparkCore, PySpark, Python, SparkSQL, Scala, Azure Blob Storage.

Experience in Real-Time Data Processing using Apache Kafka/EventHub/IoT, Structured Streaming and Stream analytics.





Experience with Apache Airflow for ELT Orchestration.

Experience with infrastructure management, Infrastructure as code (e.g. Terraform)

Experience with CI/CD, Version control tools like GitHub, Azure DevOps.

Experience with Version control tools, building CI/CD pipelines.

Experience with Azure cloud platform.

Positive to have:

Experience / Knowledge on Containerizations - Docker, Kubernetes

Experience working in Agile Methodology

Qualifications

Qualifications - BE, MS, M.Tech or MCA

Additional Information

Certifications: Azure Big Data, Databricks Certified Associate

📌 Azure Bigdata Specialist (Bengaluru)
🏢 PradeepIT Consulting Services
📍 Bengaluru