Auxo AI

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 6+ years of prior experience in data engineering, with a strong background in AWS (Amazon Web Services) technologies. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

**Location : Bangalore, Hyderabad, Mumbai, and Gurgaon**

**Responsibilities:**

• Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.
• Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.
• Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness.
• Implement data governance and security best practices to ensure compliance and data integrity.
• Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring.
• Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

**Requirements**

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 6+ years of prior experience in data engineering, with a focus on designing and building data pipelines.
• Proficiency in AWS services, particularly S3, Glue, EMR, Lambda, and Redshift.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with SQL and NoSQL databases, data warehousing concepts, and big data technologies.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools (e.g., Apache Airflow) is a plus.

AuxoAI is seeking a skilled and experienced Data Engineer to join our dynamic team. The ideal candidate will have 3-7 years of prior experience in data engineering, with a strong background in working on modern data platforms. This role offers an exciting opportunity to work on diverse projects, collaborating with cross-functional teams to design, build, and optimize data pipelines and infrastructure.

Location : Bangalore, Hyderabad, Mumbai, and Gurgaon

Responsibilities:

· Designing, building, and operating scalable on-premises or cloud data architecture

· Analyzing business requirements and translating them into technical specifications

· Design, develop, and implement data engineering solutions using DBT on cloud platforms (Snowflake, Databricks)

· Design, develop, and maintain scalable data pipelines and ETL processes

· Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.

· Optimize data storage and retrieval mechanisms to ensure performance, reliability, and cost-effectiveness

· Implement data governance and security best practices to ensure compliance and data integrity

· Troubleshoot and debug data pipeline issues, providing timely resolution and proactive monitoring

· Stay abreast of emerging technologies and industry trends, recommending innovative solutions to enhance data engineering capabilities.

Requirements

· Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

· Overall 3+ years of prior experience in data engineering, with a focus on designing and building data pipelines

· Experience of working with DBT to implement end-to-end data engineering processes on Snowflake and Databricks

· Comprehensive understanding of the Snowflake and Databricks ecosystem

· Strong programming skills in languages like SQL and Python or PySpark.

· Experience with data modeling, ETL processes, and data warehousing concepts.

· Familiarity with implementing CI/CD processes or other orchestration tools is a plus.

AuxoAI is looking for a highly motivated and detail-oriented Anaplan Modeler with foundational knowledge of Supply Chain Planning. You will work closely with Solution Architects and Senior Modelers to support the design, development, and optimization of Anaplan models for enterprise planning needs across industries.

This role offers a strong growth path toward Senior Modeler and Solution Architect roles and a chance to contribute to cutting-edge planning projects.

**Responsibilities: **

Build and maintain Anaplan models, modules, dashboards, and actions under defined specifications.

Execute data loading, validation, and basic transformation within Anaplan.

Optimize existing models for better performance and usability.

Apply Anaplan best practices and methodology in daily work.

Use Anaplan Connect or similar tools for data integration.

Assist in creating model documentation, user guides, and test plans.

Support testing and troubleshooting activities.

Develop a basic understanding of supply chain processes (demand, supply, inventory planning).

Collaborate effectively with internal teams and business stakeholders.

Participate in training and skill-building programs within the Anaplan ecosystem.

Requirements 

Bachelor’s or Master’s in Engineering, Supply Chain, Operations Research, or a related field

3+ years of experience in a business/IT role with hands-on Anaplan modelling exposure

Anaplan Model Builder Certification is mandatory

Basic understanding of supply chain concepts like demand, supply, and inventory planning

Strong problem-solving and logical thinking skills

Proficiency in Excel or basic data analysis tools

Excellent attention to detail and communication skills

Enthusiasm to grow within the Anaplan and supply chain domain

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.