Azure Databricks

Title: Azure Data Engineer

Date: 11-April-2026

Mode of Interview: F2F/ Walk-in

Location: TCS Deccan park, Hyderabad.

Experience: 4-8 years

4+ years in a data engineer role using service and hosting solutions such as private/public cloud PaaS platforms

• Implementation, and operations of OLTP, OLAP, DW technologies such as Azure SQL, Azure SQL DW, Azure Data Lake Store, Azure Data Factory and understanding of Microsoft Azure PaaS features.

• Design and configuration of data movement, streaming and transformation (ETL) technologies such as Azure Data Factory, Azure data Bricks, Azure Stream Analytics, SSIS runtime integration with ADF

• Hands on Visualization using technologies such as PowerBI, Tableau

• Good Understanding of IoT technologies such as IoT Hub, IoT Edge, Event Grid

• Identify, communicate, and mitigate Risks, Assumptions, Issues and Decisions throughout full lifecycle

• Familiarity with the some of Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Stream Sets, Antiunity, Map Reduce, Hadoop, Hive, HBase, Cassandra, Spark, Flume, Hive, Impala, etc.

• Good knowledge of SQL and excellent coding skills (Python, R)

• Good understanding of SSIS catalog db. and its query

• Familiarity with Networking, Windows virtual machines, Container, Storage, ELB, Autoscaling

• Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls