Python Data Engineer

Python Data Engineer : -

• Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.
• Constructing infrastructure for efficient ETL processes from various sources and storage systems.
• Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements.
• Leading the implementation of algorithms and prototypes to transform raw data into useful information.
• Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI / ML transformations.
• Creating innovative data validation methods and data analysis tools.
• Ensuring compliance with data governance and security policies.
• Interpreting data trends and patterns to establish operational alerts.
• Developing analytical tools, programs, and reporting mechanisms.
• Conducting complex data analysis and presenting results effectively.
• Preparing data for prescriptive and predictive modeling.
• Continuously exploring opportunities to enhance data quality and reliability.
• Applying strong programming and problem-solving skills to develop scalable solutions.
• Passion for testing strategy, problem-solving, and continuous learning.
• Willingness to acquire new skills and knowledge.
• Possess a product / engineering mindset to drive impactful data solutions.
• Experience working in distributed environments with global teams.

Technical Skills and Experience requirements :

Qualification : Bachelor's / Master's Degree.

Relevant Development Experience : 8+ Years

Relevant Experience : 8+ Years (as Python and Data Engineer)

Overall IT Experience : 8 to 12 Years

Skills Required

Agile Methodologies, Scala, Sql, Hive, Mysql, snowflake , Spark, Data Lake, Python