Python Developer - Big Data

Job Description:

8+ years of experience in Python, PySpark, Hadoop Big Data

Build PySpark based applications for both batch and streaming requirements, which will require in-depth knowledge on majority of Hadoop and NoSQL databases as well. Optimize performance of the built Spark applications in Hadoop using configurations around Spark Context, Spark-SQL, Data Frame, and Pair RDD's. Should be skilled to use APIs in order to process huge datasets. They can run Spark/pyspark on open source frameworks such as Hadoop in the cloud with complicated data.

Develop, test and maintain high-quality software using Python programming language. Participate in the entire software development lifecycle, building, testing and delivering high-quality solutions. Collaborate with cross-functional teams to identify and solve complex problems.

Strong Backend development Experience in Python

Good Understanding of python libraries like Pandas, Polars, NumPy, Matplotlib, Plotly, Seaborn, Altair.

Conceptually Strong in Python and Analytics

Design and implement web applications using Python framework like Streamlit.

Design visualizations, custom widgets, and components, translate complex data processing and analysis tasks into intuitive, user-friendly web interfaces.

Collaborate with back-end developers to integrate APIs and databases with Streamlit applications.

Working with large data sets and incomplete information as required.

Working with users, business stakeholders, product owners /technology teams to deeply understand customer needs, develop solutions independently.

Experience of working in a financial organization or awareness of financial concepts especially related to Trading hub.

Rewrite and decom legacy controls: consider a python framework for converting RBS Java for scenarios outside Trading Hub and BABS to transition all remaining legacy RBS scenarios to new Surveillance capabilities