Tredence
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Bengaluru · On-site · 8-11 Yrs · Oct 16
Business consulting · 1001 to 5000 Employees · San Jose, US
As with every marathon, the last mile is the toughest. It is here that enterprises lose the strength and resolve to take analytics beyond insight generation and use them to generate value. That’s where we saw a gap waiting to be filled - in activating data and operationalizing insights for real, tangible business impact. We’re focused on bridging the gap between insights delivery and value realization, partnering with our clients to help them cross the last-mile gap in analytics. This DNA pushes our ecosystem to go beyond possible, helping our clients re-think their limitations and overcome their norms of ‘possible’.
Hiring: Engineering
What employees say
+ Enthusiastic and ambitious work culture. Tredence enables everyone with the tools, means and the backing one needs to succeed and grow.
− As a fast growing organization, baseline expectations would be to learn and adapt fast, be on the toes and fail fast. Not a con but the rapid pace in work is not for all.
More reviews on the company profile.
Interview experience · Data Engineer
It was very easy with basic dsa in your preferred language and basic sql concepts like joins. Prepare basic dsa and sql it will help to get on interview process
Very_easy difficulty · Chennai · 440 reports
More interview insightsJob description
Overview
We are looking for a highly skilled and client-facing Senior Alteryx Data Engineer with 8+ years of experience in designing, building, and optimizing enterprise-scale data transformation and analytics solutions.
Responsibilities
- About the Role
- We are looking for a highly skilled and client-facing Senior Alteryx Data Engineer with 8+ years of experience in designing, building, and optimizing enterprise-scale data transformation and analytics solutions. The ideal candidate will have deep expertise in Alteryx Designer, Alteryx Server, ETL/ELT processes, data engineering, and workflow automation.
- This role requires strong stakeholder management skills, the ability to work directly with business and technology teams, and experience delivering solutions in a fast-paced, dynamic environment. Experience with Databricks, PySpark, and modern cloud-based data platforms is highly desirable.
- Design, develop, optimize, and maintain complex Alteryx workflows, macros, and analytic applications.
- Build scalable data pipelines for data ingestion, cleansing, transformation, validation, and reporting.
- Work directly with clients, product owners, and business stakeholders to understand requirements and translate them into technical solutions.
- Lead technical discussions, solution design workshops, and client presentations.
- Improve workflow performance, scalability, and maintainability across enterprise applications.
- Develop reusable frameworks, standards, and best practices for Alteryx development.
- Collaborate with cross-functional teams including Data Engineers, Architects, Analysts, and Business Users.
- Troubleshoot data quality, performance, and production issues.
- Participate in Agile ceremonies and contribute to project planning and estimation.
- Drive continuous improvement and automation initiatives to increase operational efficiency.
Qualifications
- 8+ years of experience in Data Engineering, ETL, or Analytics Engineering.
- 5+ years of hands-on experience with Alteryx Designer and Alteryx Server.
- Strong expertise in:
- Workflow development
- Data blending and transformation
- Macro development
- Analytic Apps
- Workflow optimization
- Advanced SQL skills with expertise in data modeling and database concepts.
- Experience working with large-scale enterprise data environments.
- Strong understanding of ETL/ELT architecture and best practices.
- Experience with data validation, reconciliation, and quality frameworks.
- Excellent communication and stakeholder management skills.
- Proven experience in client-facing roles.
- Ability to manage multiple priorities in a fast-paced delivery environment.
- Experience with Databricks platform.
- Hands-on experience with PySpark for distributed data processing.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of Delta Lake, Data Lakehouse architectures.
- Experience with CI/CD and DevOps practices for analytics deployments.
- Alteryx certifications (Designer Advanced, Expert, or Server Administration) preferred
- Strong problem-solving and analytical thinking.
- Exceptional client engagement and consulting skills.
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Self-driven, proactive, and accountable.
- Comfortable working under tight timelines and evolving business requirements.
- Strong collaboration and leadership capabilities.
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Senior Alteryx Data Engineer with workflow Automation, ETL, SQL Expertise at Tredence?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Tredence may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Alteryx Data Engineer with workflow Automation, ETL, SQL Expertise remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior Alteryx Data Engineer with workflow Automation, ETL, SQL Expertise role at Tredence?
- This is a senior Senior Alteryx Data Engineer with workflow Automation, ETL, SQL Expertise role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.