Data Engineer
Indexed description
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 talented Data Engineer 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 experience in Python, SQL, and Data Modeling
✅ 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 such as Airflow, ADF, Glue, or Data Factory
✅ Experience with data warehousing solutions such 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.
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