Python Developer / Engineer

Job Description

You will have a fantastic opportunity to create innovative solutions that transform data as a service. Join an inspiring and curious team of technologists dedicated to improving design, analytics, development, coding, testing, and application programming for creating high-quality products.Key Responsibilities:- Implement next-gen technical architecture on the cloud for data quality framework to drive automation, scalability, and advanced analytics.- Maintain, enhance, and implement bug fixes; proactively monitor priority items, investigate issues, analyze solutions, and drive problems through to resolution.- Collaborate with cross-functional teams on technical data quality requirements to align with existing offerings and roadmap.- Enforce good agile practices like story estimation and test-driven development.- Drive continuous improvement and innovation.Qualifications Required:- 6 years experience with data engineering lifecycle implementation from concept through implementation.- Strong knowledge and experience in data-related activities (data quality, data governance, metadata, data management, data standards, data structures, data aggregation, and business requirements) is required.- Strong SQL and relational database/data warehouse skills, data analysis experience is required.- Prior experience in data modeling, hands-on experience on data integration/analysis tools (e.g., Alteryx), data visualization tools (e.g., Tableau) is preferred.- Hands-on experience in at least one programming language, preferably Python is required.- Hands-on experience with cloud migration and development experience on AWS is required.- Familiarity with algorithms on anomaly detection, pattern analysis, or big data frameworks such as Hadoop/Spark is a bonus.- Experience with GIT/BitBucket is required.- Exposure to modern engineering practices like Unit Test-Driven Development, Acceptance Test-Driven Development, and Continuous Integration is required.- Experience in Agile development lifecycle methodology is required.- Comfortable dealing with ambiguity and a fast-changing environment. Ability to lead and drive efforts to completion.- Strong written and verbal communication skills with the ability to speak to varying levels across the organization.(Note: The additional details of the company were not included in the job description provided.) You will have a fantastic opportunity to create innovative solutions that transform data as a service. Join an inspiring and curious team of technologists dedicated to improving design, analytics, development, coding, testing, and application programming for creating high-quality products.Key Responsibilities:- Implement next-gen technical architecture on the cloud for data quality framework to drive automation, scalability, and advanced analytics.- Maintain, enhance, and implement bug fixes; proactively monitor priority items, investigate issues, analyze solutions, and drive problems through to resolution.- Collaborate with cross-functional teams on technical data quality requirements to align with existing offerings and roadmap.- Enforce good agile practices like story estimation and test-driven development.- Drive continuous improvement and innovation.Qualifications Required:- 6 years experience with data engineering lifecycle implementation from concept through implementation.- Strong knowledge and experience in data-related activities (data quality, data governance, metadata, data management, data standards, data structures, data aggregation, and business requirements) is required.- Strong SQL and relational database/data warehouse skills, data analysis experience is required.- Prior experience in data modeling, hands-on experience on data integration/analysis tools (e.g., Alteryx), data visualization tools (e.g., Tableau) is preferred.- Hands-on experience in at least one programming language, preferably Python is required.- Hands-on experience with cloud migration and development experience on AWS is required.- Familiarity with algorithms on anomaly detection, pattern analysis, or big data frameworks such as Hadoop/Spark is a bonus.- Experience with GIT/BitBucket is required.- Exposure to modern engineering practices like Unit Test-Driven Development, Acceptance Test-Driven Development, and Continuous Integration is required.- Experience in Agile development lifecycle methodology is required.- Comfortable dealing with ambiguity and a fast-changing environment. Ability to lead and drive efforts to completion.- Strong written and verbal communication skills with the ability to speak to varying levels across the organization.(Note: The additional details of the company were not included in the job description provided.)

Keyskills :
data engineeringdata qualitydata governancemetadatadata managementdata standardsdata structuresdata aggregationSQLrelational databasedata analysisdata integrationPythonAWSalgorithmsanomaly detectionpattern analysisHadoopSparkGITBitBuck