About the role
Job Description
Overall, 6 to 8 years of experience in IT Industry.
Min 6 years of experience working on Data Engineering using Azure Databricks, Synapse, ADF/Airflow.
At least 4 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 with CI/CD, Version control tools like GitHub, Azure DevOps.
Experience with Version control tools
Experience with Azure cloud platform.
Experience in managing cross-functional team, requirements gathering, day-to-day relationships with clients, and stakeholders supporting clients to achieve better outcomes
Good to have:
• Experience / Knowledge on Containerizations - Docker, Kubernetes
• Experience working in Agile Methodology
Experience in Real-Time Data Processing using Apache Kafka/EventHub/IoT, Structured Streaming and Stream analytics.
Qualifications
Qualifications - BE, MS, M.Tech or MCA
Additional Information
Certifications: Azure Big Data, Databricks Certified Associate