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4 days ago
We are seeking a highly skilled data engineer to assume a key role in the BFSI domain. The ideal candidate will possess extensive experience with Google Cloud Big Data tools, advanced data visualization techniques, and collaborative work environments.
- Collaborate with data science teams to develop and implement sophisticated algorithms and analytical solutions that drive business value.
- Utilize agile development practices to enhance back-end systems and improve overall system performance.
- Design and model front-end and back-end data flows to enable deeper business insights and informed decision-making.
- Develop and maintain ETL pipelines that efficiently clean, transform, and aggregate data to support strategic business initiatives.
- Create predictive models that deliver actionable insights for the BFSI business and drive meaningful growth.
Required Skills & Qualifications:
- A minimum of 4 years of experience in Python, SQL, and data visualization/exploration tools.
- Hands-on expertise with Google Cloud Big Data tools – BigQuery, Airflow, CI/CD.
- A strong foundation in Spark, Hive, Core Java, Linux, and scripting languages.
- Experience in ETL design, build, and maintenance to ensure data quality and integrity.
- Familiarity with analytics tools such as Tableau or R to support data-driven decision-making.
- Strong communication skills to collaborate effectively with technical and non-technical stakeholders.
- A bachelor's degree in Computer Science, IT, Engineering, or an equivalent field.
- Professional certification in GCP Data Engineer or related fields (preferred).
- BFSI domain experience is highly desirable.
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