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Senior Engineer, AVP

3 months ago


Pune, Maharashtra, India F337 Deutsche India Private Limited, Pune Branch Full time

Description

:

We are seeking a talented and experienced engineer to join the global corporate banking analytics team and work on our next generation cash management product analytics platform (Beacon) to provision complex use cases that will enable better client, product, and revenue management. The ideal candidate will have a strong expertise in data engineering skillsets and tools and have experience leading data science project from ideation to production. The candidate should also possess domain knowledge of finance payment data sets for corporate banking and can effectively communicate technical solutions to a wide range of audiences.

What we'll offer you

As part of our flexible scheme, here are just some of the benefits that you'll enjoy

Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above

Your key responsibilities

Working as a hands-on engineer to design, develop, and maintain scalable data infrastructure and pipelines for handling large volumes of data in a corporate banking environment Collaborate with cross-functional teams, including data scientists, business analysts, and software engineers, to understand business requirements and design efficient data solutions. Optimize and tune data processing and ETL workflows to ensure high performance and reliability Work with various data storage and processing technologies Develop and maintain data pipelines for real-time and batch data processing Identify and resolve data quality issues and ensure data accuracy and consistency Should be able to work independently or with minimal guidance. Develop and implement data models, algorithms, and statistical methods to drive data-driven decision making and improve business processes. Stay updated with the latest industry trends, technologies, and best practices in data engineering and data science.

Your skills and experience

6-12 years' experience developing on large scale IT projects from inception to delivery Bachelor's or master's degree in Computer Science, Data Science, or a related field Strong experience in data engineering, with expertise in Python and SQL/PLSQL Hands-on experience in creating ETL pipelines. Experience with GCP or AWS or Azure Preferred to have knowledge on GCP services like CloudSQL, Airflow, Dataflow, Bigquery Good to have knowledge on terraform for cloud infrastructure. Knowledge of Apache-beam will be added advantage. Must be familiar with CI/CD pipelines , github repositories and agile framework. Experience working with finance payment data sets in a corporate banking environment is highly desirable Experience with Data analytics or Datawarehouse project is a plus. Excellent problem-solving and analytical skills with the ability to translate business requirements into technical solutions.

How we'll support you

Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs