Alteryx Developer

Responsibilities

• Design, develop, and maintain Alteryx workflows to support data preparation, transformation, and integration.

• Build and maintain ETL/data workflows that ingest, cleanse, validate, and enrich data from multiple sources.

• Convert business requirements into technical workflow solutions, including reusable components and macros.

• Apply data quality controls, reconciliation logic, and exception handling to ensure data accuracy and completeness.

• Improve workflow performance by refining business logic, lowering execution time, and managing compute and resource usage effectively.

• Create and maintain documentation covering workflow logic, data mappings, and operational procedures to enable long-term maintainability and smooth handovers.

• Work closely with analysts, data engineers, and stakeholders to troubleshoot issues and implement enhancements.

• Handle production support activities, including monitoring scheduled workflows and resolving failures within agreed timelines.

Minimum Qualifications:

• Bachelor's degree (or equivalent) in Engineering/Technology/Computer Applications/Science (e.g., BTech, BE, MCA, MTech, MSc).

• 5-9 years of experience using Alteryx to build and maintain data preparation or automation workflows.

• Strong practical experience in ETL and data workflow development, including transformation and validation activities.

• Working knowledge of core data concepts including joins, aggregations, filtering, data types, and schema handling.

• Capability to assess requirements, debug workflow problems, and produce dependable outputs with strong attention to detail.

Preferred Qualifications:

• Experience integrating Alteryx workflows with databases and file-based sources, including effective input/output techniques.

• Familiarity with SQL for data validation, reconciliation, and performance-conscious querying in parallel with Alteryx workflows.

• Experience with workflow scheduling/automation and operational support for recurring data processes.

• Understanding of analytics lifecycle practices including versioning, documentation standards, and reusable workflow design.

• Ability to communicate effectively with stakeholders, share findings, and propose improvements to data processes.

Good to have skills:

SQL, Data Warehousing, Data Quality Frameworks, Power BI, Python

Technical and Professional Requirements:

• Primary skills:Technology->DataAnalytics->Alteryx

Preferred Skills:

Technology->Advanced Analytics and ML->Alteryx

Educational Requirements: BTech,MTech,MCA,MSc,BSc,BCA