
Scalable Data Solutions Specialist
1 week ago
We are seeking a GCP Data Engineer to join our project in the BFSI domain. In this role, you will collaborate with data science teams, build scalable data pipelines, and develop models that empower business decision-making through advanced analytics.
About the Role- You will collaborate with data science teams to implement complex algorithms and analytical solutions.
- You will use agile development practices to improve back-end systems.
- You will model front-end and back-end data flows to enable deeper business insights.
- You will build and maintain ETL pipelines that clean, transform, and aggregate data.
- You will develop predictive models to drive actionable insights for the BFSI business.
This role requires minimum 4 years of experience in Python, SQL, and data visualization/exploration tools.
- You must have hands-on with Google Cloud Big Data tools – BigQuery, Airflow, CI/CD.
- You must have strong knowledge of Spark, Hive, Core Java, Linux, and scripting languages.
- You must have experience in ETL design, build, and maintenance.
- You must be familiar with analytics tools such as Tableau or R.
- You must have strong communication skills for collaborating with technical and non-technical stakeholders.
- You must have a Bachelor's degree in Computer Science, IT, Engineering, or equivalent.
- Professional certification in GCP Data Engineer or related fields is preferred.
- BFSI domain experience is highly desirable.
- You will have the opportunity to work on a prestigious BFSI project with global impact.
- You will work in a collaborative environment with cutting-edge cloud and big data technologies.
- You will have career growth with professional certifications and upskilling programs.
- You will be part of a strong team delivering real-time business value.
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