Data Engineer

Data Engineer CloudThat

Location: Mumbai

Experience: 38 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.