Auxo AI

Responsibilities :

• Design and develop user-friendly web interfaces using HTML, CSS, and JavaScript.
• Utilize modern frontend frameworks and libraries such as React, Angular, or Vue.js to build dynamic and responsive web applications.
• Develop and maintain server-side logic using programming languages such as Java, Python, Ruby, Node.js, or PHP.
• Build and manage APIs for seamless communication between the frontend and backend systems.
• Integrate third-party services and APIs to enhance application functionality.
• Implement CI/CD pipelines to automate testing, integration, and deployment processes.
• Monitor and optimize the performance of web applications to ensure a high-quality user experience.
• Stay up-to-date with emerging technologies and industry trends to continuously improve development processes and application performance.

Qualifications :

• Bachelors/master's in computer science or related subjects or hands-on experience demonstrating working understanding of software applications.
• Knowledge of building applications that can be deployed in a cloud environment or are cloud native applications.
• Strong expertise in building backend applications using Java/C#/Python with demonstrable experience in using frameworks such as Spring/Vertx/.Net/FastAPI.
• Deep understanding of enterprise design patterns, API development and integration and Test-Driven Development (TDD)
• Working knowledge in building applications that leverage databases such as PostgreSQL, MySQL, MongoDB, Neo4J or storage technologies such as AWS S3, Azure Blob Storage.
• Hands-on experience in building enterprise applications adhering to their needs of security and reliability.
• Hands-on experience building applications using one of the major cloud providers (AWS, Azure, GCP).
• Working knowledge of CI/CD tools for application integration and deployment.
• Working knowledge of using reliability tools to monitor the performance of the application.

Responsibilities:

• Build and optimize batch and streaming data pipelines using Apache Beam (Dataflow)
• Design and maintain BigQuery datasets using best practices in partitioning, clustering, and materialized views
• Develop and manage Airflow DAGs in Cloud Composer for workflow orchestration
• Implement SQL-based transformations using Dataform (or dbt)
• Leverage Pub/Sub for event-driven ingestion and Cloud Storage for raw/lake layer data architecture
• Drive engineering best practices across CI/CD, testing, monitoring, and pipeline observability
• Partner with solution architects and product teams to translate data requirements into technical designs
• Mentor junior data engineers and support knowledge-sharing across the team
• Contribute to documentation, code reviews, sprint planning, and agile ceremonies

Requirements

• 5+ years of hands-on experience in data engineering, with at least 2 years on GCP
• Proven expertise in BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow)
• Strong programming skills in Python and/or Java
• Experience with SQL optimization, data modeling, and pipeline orchestration
• Familiarity with Git, CI/CD pipelines, and data quality monitoring frameworks
• Exposure to Dataform, dbt, or similar tools for ELT workflows
• Solid understanding of data architecture, schema design, and performance tuning
• Excellent problem-solving and collaboration skills

Bonus Skills:

• GCP Professional Data Engineer certification
• Experience with Vertex AI, Cloud Functions, Dataproc, or real-time streaming architectures
• Familiarity with data governance tools (e.g., Atlan, Collibra, Dataplex)
• Exposure to Docker/Kubernetes, API integration, and infrastructure-as-code (Terraform)

Key Responsibilities 

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem). 
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads. 
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns. 
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS). 
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies. 
• Support self-service analytics by enabling governed data products and semantic layers. 
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling. 
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data. 

Qualifications 

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field. 
• 10+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms. 
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena). 
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning. 
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.). 
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC). 
• Excellent problem-solving, documentation, and stakeholder communication skills. 

Preferred: 

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview). 
• Exposure to Snowflake, Databricks, or BigQuery environments. 
• Experience in high-tech, manufacturing, or enterprise data modernization programs.