Careers
Our values define who we are – as an individual and as an organization. We believe that a team with aligned values, attitude and culture can achieve great success.
We are growing and looking for talent at multiple levels. We look for alignment with our core values, strong fundamentals, and the ability to apply learning. A start up environment requires high ownership, drive, tenacity, curiosity and the ability to challenge status-quo.
We are looking for Data Engineers, Data Architect, Data Scientists, and AI Engineers with 4-16 years of experience in the modern data and AI stack. We are hiring in the US and in India. If this is of interest, please share your profile highlighting relevant experience to careers@arivueanalytics.com
Open Positions
Senior Data Engineer - US
Role Summary
We are seeking a highly skilled and experienced Senior Data Engineer in the US. This will be one of the formative roles in a start-up and would need high level of ownership, drive, and a get-things-done attitude. The ideal candidate will bring in deep expertise in data engineering, data migration and modernization, ETL/ELT pipeline development, and cloud data warehousing. You will be responsible for leading and contributing to end-to-end lifecycle of enterprise-scale data engineering and data migration projects.
Key Responsibilities
• Lead data migration and modernization efforts, working with a distributed engineering team across geographies and time-zones.
• Design and implement robust data pipelines: Develop scalable and efficient ELT (Extract, Load, Transform) pipelines to move and transform data from source to Snowflake.
• Re-engineer and modernize stored procedures: Analyze and translate complex stored procedures from relational databases into a modern data framework to ensure business logic is accurately preserved / appropriately modernized.
• Architect the data model: Design and build an optimized data model in Snowflake, applying best practices for a cloud-native data warehouse to ensure high performance and scalability.
• Create Reusable Frameworks: Design and develop frameworks (for example, ingestion frameworks, accelerators, etc.) that
• Collaborate with stakeholders: Work closely with business analysts, product managers and business users to define and build a semantic layer.
• Data Governance and Best practices: Strong understanding of data governance, security best practices, and cloud architecture principles; Implement and enforce data quality checks, validation rules, security, and governance policies throughout the data lifecycle.
• Mentor junior team members: Provide technical guidance and leadership to other data engineers on the team.
Qualifications
• Proven experience: 8-12 years of experience in data engineering on modern data stack (Snowflake preferred) with deep SQL expertise.
• Migration and Modernization: Hands-on experience in enterprise scale migrations.
• Programming skills: Strong proficiency in at least one scripting language (Python preferred).
• Data modeling: Extensive experience in designing dimensional and relational data models.
• Cloud experience: Familiarity with any major cloud provider and cloud-native services.
• Problem-solving: A strong ability to analyze complex data problems and devise effective, scalable solutions.
• Leadership skills: Prior experience in a technical lead role, with the ability to manage projects and guide a team.
• Communication skills: Excellent communication skills to engage with customer leaders and business users; ability to articulate technical concepts to non-technical stakeholders.
Preferred
• Advanced Certification in Snowflake
• Prior involvement in projects involving natural language interfaces or conversational AI for data querying.
• Experience with AI/ML integrations for data insights
• Knowledge of version control systems and CI/CD pipelines for data workflows.
What We Offer
• A dynamic role in a forward-thinking startup focused on creating advanced Data and AI solutions
• Opportunities for professional growth and collaboration on cutting-edge technologies.
Location
- We prefer a candidate local to the North-DFW area; while most of the work can be done remotely, the role requires regular in-person interactions.
If this is you, send us your resume highlighting relevant project experiences to careers@arivueanalytics.com.
Senior Data Engineer - India
Role Summary
We are seeking a highly skilled and experienced Senior Data Engineer in India. This will be one of the formative roles in a start-up and would need high level of ownership, drive, and a get-things-done attitude. The ideal candidate will bring in deep expertise in data engineering, data migration and modernization, ETL/ELT pipeline development, and cloud data warehousing. You will be responsible for leading and contributing to end-to-end lifecycle of enterprise-scale data engineering and data migration projects.
Key Responsibilities
• Lead data migration and modernization efforts, working with a distributed engineering team across geographies and time-zones.
• Design and implement robust data pipelines: Develop scalable and efficient ELT (Extract, Load, Transform) pipelines to move and transform data from source to Snowflake.
• Re-engineer and modernize stored procedures: Analyze and translate complex stored procedures from relational databases into a modern data framework to ensure business logic is accurately preserved / appropriately modernized.
• Architect the data model: Design and build an optimized data model in Snowflake, applying best practices for a cloud-native data warehouse to ensure high performance and scalability.
• Create Reusable Frameworks: Design and develop frameworks (for example, ingestion frameworks, accelerators, etc.) that
• Collaborate with stakeholders: Work closely with business analysts, product managers and business users to define and build a semantic layer.
• Data Governance and Best practices: Strong understanding of data governance, security best practices, and cloud architecture principles; Implement and enforce data quality checks, validation rules, security, and governance policies throughout the data lifecycle.
• Mentor junior team members: Provide technical guidance and leadership to other data engineers on the team.
Qualifications
• Proven experience: 8-12 years of experience in data engineering on modern data stack (Snowflake preferred) with deep SQL expertise.
• Migration and Modernization: Hands-on experience in enterprise scale migrations.
• Programming skills: Strong proficiency in at least one scripting language (Python preferred).
• Data modeling: Extensive experience in designing dimensional and relational data models.
• Cloud experience: Familiarity with any major cloud provider and cloud-native services.
• Problem-solving: A strong ability to analyze complex data problems and devise effective, scalable solutions.
• Leadership skills: Prior experience in a technical lead role, with the ability to manage projects and guide a team.
• Communication skills: Excellent communication skills to engage with customer leaders and business users; ability to articulate technical concepts to non-technical stakeholders.
Preferred
• Advanced Certification in Snowflake
• Prior involvement in projects involving natural language interfaces or conversational AI for data querying.
• Experience with AI/ML integrations for data insights
• Knowledge of version control systems and CI/CD pipelines for data workflows.
What We Offer
• A dynamic role in a forward-thinking startup focused on creating advanced Data and AI solutions
• Opportunities for professional growth and collaboration on cutting-edge technologies.
Location
• Role is remote, Chennai preferred
If this is you, send us your resume highlighting relevant project experiences to careers@arivueanalytics.com.