Tech S and T Cloud Dev-Data

Must-Have Skills

• Strong programming in Python and SQL
• Hands-on experience with distributed data processing (Spark or equivalent)
• Experience building pipelines using Airflow (or similar orchestration tools)
• Solid understanding of data modeling, warehousing, and data lakes/lakehouse architectures
• Experience with cloud platforms (AWS / Azure / GCP)
• Strong foundation in data quality, observability, and reliability engineering

Good-to-Have

• Real-time streaming experience (Kafka, Kinesis, etc.)
• Experience with Snowflake, Databricks, or modern data platforms
• Building or consuming REST APIs for data services
• Exposure to ML/AI pipelines or feature engineering workflows
• Familiarity with DevOps practices (CI/CD, Git, Jenkins, Azure DevOps)
• Basic frontend exposure (React/Angular) for data tooling