Auxo AI

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

2+ 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

Architect and lead the migration roadmap from Oracle EBS R12 to Fusion ERP on OCI.

Design scalable, secure, and compliant OCI environments (Compute, VCN, IAM, Storage, HA/DR).

Drive integration using OIC, SOA, REST/SOAP APIs, ODI, and FBDI.

Partner with Finance and Operations teams to translate business needs into ERP solutions across GL, AP, AR, FA, CM, and P2P/O2C.

Define data migration, reporting, and analytics integration frameworks.

Lead vendors and internal teams through design, build, and deployment phases.

Enforce architecture standards, documentation, and governance practices.

Shape

Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field.

10+ years in Oracle ERP architecture; 5+ years in Oracle Cloud (Fusion ERP + OCI).

Proven delivery of EBS to Fusion migration or coexistence programs.

Strong understanding of financial and procurement processes.

Hands-on expertise in OCI architecture, performance optimization, and cost governance.

Strong SQL/PLSQL and integration experience (APIs, OIC, ODI).

Excellent communication and stakeholder management skills.

Preferred:

Oracle Cloud Architect and/or Fusion Financials certification.

Experience with multi-cloud or high-compliance (Hi-Tech / Manufacturing) environments.

Familiarity with DevOps and automation tools (Terraform, GitOps, CI/CD)

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. 

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.