Python Developer

24 hours ago

Kolhapur, India People Prime Worldwide Full time

About Company :They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.About Client:Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.JDLocation – PuneExperience-8+Key Responsibilities:Design, develop, and maintain scalable data pipelines using PySpark.Work with large-scale datasets in distributed computing environments.Implement ETL/ELT processes to ingest, transform, and load data from various sources.Deploy and manage data workflows on AWS services such as S3, EMR, Glue, Lambda, Redshift, Athena, etc.Collaborate with data scientists, analysts, and other engineers to understand data requirements.Monitor and optimize performance of data pipelines and cloud infrastructure.Ensure data quality, integrity, and security across all stages of the pipeline.Required Skills:Strong programming skills in Python with hands-on experience in PySpark.Proficiency in AWS cloud services related to data engineering.Experience with data lake and data warehouse architectures.Familiarity with SQL and NoSQL databases.Knowledge of CI/CD pipelines, version control (e.g., Git), and containerization (e.g., Docker) is a plus.Excellent problem-solving and communication skills.

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