
Cloud Data Engineer
2 days ago
We are seeking a highly skilled data engineer to collaborate with our data science teams and build scalable data pipelines. In this role, you will develop models that empower business decision-making through advanced analytics.
Key Responsibilities
- Collaborate with data science teams to implement complex algorithms and analytical solutions.
- Use agile development practices to improve back-end systems.
- Model front-end and back-end data flows to enable deeper business insights.
- Build and maintain ETL pipelines that clean, transform, and aggregate data.
- Develop predictive models to drive actionable insights for the BFSI business.
Required Skills & Qualifications
- Minimum 4 years of experience in Python, SQL, and data visualization/exploration tools.
- Hands-on with Google Cloud Big Data tools – BigQuery, Airflow, CI/CD.
- Strong knowledge of Spark, Hive, Core Java, Linux, and scripting languages.
- Experience in ETL design, build, and maintenance.
- Familiar with analytics tools such as Tableau or R.
- Strong communication skills for collaborating with technical and non-technical stakeholders.
- Bachelor's degree in Computer Science, IT, Engineering, or equivalent.
- Professional certification in GCP Data Engineer or related fields (preferred).
- BFSI domain experience is highly desirable.
Why Work with Us?
- Opportunity to work on a prestigious BFSI project with global impact.
- Collaborative work environment with cutting-edge cloud and big data technologies.
- Career growth with professional certifications and upskilling programs.
- Be part of a strong team delivering real-time business value.
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