Python Developer (Urgent)

Python (core & Advance preferable), Pyspark (Advanced Level)- Data processing, Engineering, ETL Development(using Oracle, mongo, Hive), Advanced Optimization Techniques for processing Large volume of data. Pandas - Advanced level, Numpy - Intermediate Level SQL/Oracle - Advanced Level spark - Advanced level High level of coding knowledge and Big data processing requirement is must..

Python Data Engineer Data / Spark Experience: 7+ Years Role Overview: We are looking for a Python Data Engineer to develop reliable and scalable data processing solutions for a banking environment. The candidate should be comfortable working with large datasets, data pipelines and distributed processing frameworks. Key Responsibilities Develop scalable data pipelines and transformation processes using Python and PySpark.Design and implement data models for enterprise data processing requirement

Core Responsibilities AWS Solution Design Implementation Design develop and deploy scalable and costeffective data solutions on AWS leveraging services such as S3 for data lakes EC2 EMR Glue Athena Lambda Redshift and KinesisData Pipeline Development Build and maintain robust ETLELT data pipelines using PySpark for data ingestion transformation and loading into various data stores including those utilizing open table formats like IcebergBig Data Processing Develop and optimize big data processin

We are seeking a highly skilled and motivated Senior Data Platform Engineer, AVP (Python/PySpark, Microsoft SSIS, SQL Server, ETL & Database Development) to design, develop, enhance, and support robust, scalable, and high-performance data processing solutions. The ideal candidate will combine strong hands-on expertise in Python/PySpark, SQL Server, ETL/data pipelines, Microsoft SSIS, and large-scale data platforms, with experience troubleshooting production data applications, optimizing databas