Full Job Description
10+ years of relevant experience in Apps Development or systems analysis role with extensive Python and/or big data expertise
Expert-level capability in developing and maintaining complex data processing and analytical solutions using Python/Pyspark, including advanced scripting and framework development.
Extensive experience (8+ years) architecting, designing, implementing, and managing solutions within distributed data processing platforms, specifically with the Hadoop ecosystem (preferably Cloudera distributions). Proficient in leveraging key big data components such as distributed file systems (e.g., HDFS), data warehousing solutions (e.g., Hive), data transformation frameworks (e.g., Pig), and data ingestion tools (e.g., Sqoop), alongside hands-on experience with NoSQL databases (preferably MongoDB)
Proven ability to architect, design, and implement highly scalable data pipelines. Extensive experience leveraging industry-standard ETL tools and frameworks for efficient data extraction, transformation, and loading into various relational databases and data warehouses, coupled with a strategic vision and planning experience for migrating to cloud-native, serverless ETL solutions.
Understanding of advanced data modeling principles and practical experience in data warehouse design and development, ensuring data integrity, scalability, security, and optimal performance
Demonstrated ability to design and deliver solutions for complex, enterprise-scale technology environments.
Clear and concise written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
Strong prioritization and organizational skills, with the ability to manage multiple workstreams and shifting priorities simultaneously.
Ability to build effective working relationships across technology and business teams, including external stakeholders where required.
Self-motivated and adaptable, with the initiative to take ownership of new challenges and deliver results under pressure and to tight deadlines.
Methodical approach to problem-solving with strong attention to detail and sound analytical thinking
Lead the design and execution of enterprise IT architecture across major, complex technology programs, ensuring all solutions align with established enterprise blueprints and long-term technology strategy.
Build and maintain technology roadmaps by evaluating emerging
