Required Skills & Qualifications

•Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and MySQL.

•Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala.

•Hands-on experience with Azure Cloud technologies:

Azure Data Factory (ADF)

Azure Databricks

Azure Data Lake Storage (ADLS)

Azure Synapse Analytics

Azure Event Hubs

Azure Functions

Azure API Management

Azure DevOps

•Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables.

•Expertise in API development, API integration, RESTful services, and microservices architecture.

•Experience processing high-volume and high-frequency data with low-latency requirements.

•Strong knowledge of real-time data ingestion and streaming technologies such as Kafka, Azure Event Hubs, or Kinesis.

•Experience with Spark, Hadoop, and distributed data processing frameworks.

•Hands-on experience with OpenShift, Kubernetes, Docker, and containerized deployments.

•Experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

•Understanding data governance, data security, and compliance best practices.

📌 Sr. Data Engineer (México)
🏢 Tech Mahindra
📍 México