Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. This role requires a proactive approach to identifying system anomalies and ensuring smooth operation of critical applications.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Coordinate with stakeholders to ensure timely resolution of application issues and minimize business impact.
Design, develop and maintain data solutions for data generation, collection, and processing, creating efficient data pipelines and ensuring data quality across systems.
As a Senior Consultant in a Data Warehousing project, you will drive technical and analytical tasks to ensure the organization can effectively leverage data assets for informed decision-making.
Responsibilities
Undertake primary ownership in driving self and team member’s effort across all phases of a project lifecycle
Oversees and develops Data Warehouse projects to ensure methodological soundness; deliver quality client deliverables within expected timeframe
Assist in designing data models that reflect business needs and support analytical objectives
Partner with Project lead/ Program lead in delivering projects and assist in project management responsibility like project plans, and risk mitigation
Develop and maintain comprehensive documentation for data warehouse architecture, ETL processes, and system configurations to ensure clarity and compliance
The Senior Feature Engineer leads the design, development, and operation of a governed feature platform, the shared infrastructure, standards, and tooling that domain teams use to define, certify, and serve reusable features for product analytics.
Responsibilities
Design, develop, and maintain scalable feature engineering pipelines for ML/AI model development and production inference
Build and manage feature transformation logic using Python, SQL, and Apache Spark across large, distributed datasets
Develop and operate feature pipelines within Databricks (notebooks, jobs, Delta Lake, Unity Catalog)
Collaborate with data scientists and ML engineers to translate modeling requirements into well-defined, reusable features
Establish and maintain a feature store (or equivalent) to enable feature reuse, versioning, and consistency between training and inference (train/serve parity)
Requirements
Bachelors degree Computer Science
Mechanical Engineering
Electrical Engineering
Data Analytics
Nice to have: 8+ years of experience in data engineering
Senior Azure Data Platform Engineer / Architect to support a major enterprise data platform uplift for a leading Australian financial services organisation.
Responsibilities
Assess and uplift existing Azure data platform components.
Analyse and document dependencies across ingestion pipelines, business rules and semantic models.
Migrate and optimise ETL/ELT processes.
Develop and implement Azure data engineering solutions.
Consultant, Data Warehousing (MDM)- 346Beghou Consulting · Pune, India