Data Engineer

Data Engineer – CloudThat 📍

Location : Mumbai 💼

Experience : 3–8 Years 🚀

Employment Type : Full-Time Join CloudThat and Build the Future of Data! Are you passionate about designing scalable data platforms and transforming raw data into business value? At CloudThat, we are looking for a talent

ed Data Engin eer to build modern data solutions leveraging cloud technologies, big data platforms, and automation. What You'll Do

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data warehouses, data lakes, and analytics platforms.
• Work with structured and unstructured data from multiple sources.
• Develop data integration solutions using cloud-native services.
• Collaborate with Data Scientists, Analysts, and Business Teams to deliver data-driven insights.
• Ensure data quality, governance, security, and performance optimization.
• Automate data workflows and monitoring processes. Required Skills ✅ Strong experienc

e in Python, SQL, and Data Mod eling ✅ Hands-on experience

with AWS / Azure / Google Cloud Platform ✅ Experience

with Apache Spark, Databricks, Hadoop, or similar Big Data technologies ✅ Knowledge of ETL tools and orchestration frameworks suc

h as Airflow, ADF, Glue, or Data Factory ✅ Experience with data warehousing solutions suc

h as Snowflake, Redshift, BigQuery, Synapse ✅ Understanding of CI/CD, DevOps, and DataOps practices ✅ Strong analytical and problem-solving skills Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Cloud certifications are an added advantage. Experience working in Agile environments. Exposure to AI/ML data pipelines is a plus. Why Join CloudThat? 🌟 Work on cutting-edge cloud and data engineering projects 🌟 Learn from industry experts and cloud specialists 🌟 Accelerated career growth and certification opportunities 🌟 Collaborative and innovation-driven culture 🌟 Opportunity to work with global customers Apply Now! If you're excited about building next-generation data platforms and solving complex data challenges, we'd love to hear from you.