Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
About the role
- Business Data Engineer developing data pipelines and reporting analytics insights. Experience with Databricks, PowerBI, and advanced SQL required.
Responsibilities
- Design, develop, and maintain data pipelines and workflows for ingestion, transformation, and delivery of clean, reliable business data for analysis and reporting.
- Collaborate with business teams to gather requirements, perform data validation, and support UAT/demos.
- Extract, integrate, and transform data from diverse systems — including Workday, Salesforce, on-prem and SaaS applications — using APIs, JDBC/ODBC, and native/direct connections.
- Write and optimize advanced SQL for data modeling, transformation, and cost-efficient query execution.
- Build and optimize Power BI datasets, models, and dashboards for business insights and performance tracking.
- Use Databricks Notebooks with Python and/or Scala for data preparation, automation, and analysis.
- Monitor and optimize compute resources and job performance for cost control and efficiency.
- Document data pipelines, transformation logic, and architecture for transparency and maintainability.
Requirements
- 2–5 years in a Data Engineering or Business Data Analysis role.
- Strong hands-on experience with Databricks (including Delta Lake, Spark SQL, and Notebooks).
- Strong working knowledge of Power BI (data modeling, DAX, dashboard design, publishing).
- Advanced SQL skills for large-scale data transformation and optimization.
- Proficiency in Python and/or Scala for data processing in Databricks.
- Proven experience with Fivetran or similar ETL/ELT tools for automated data ingestion.
- Experience integrating data from Business Applications like Workday and Salesforce (via APIs, reports, or connectors).
- Ability to manage and transform data from on-premises and cloud systems.
- Strong communication skills with experience in business requirement gathering and data storytelling.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Statistics, or a related field.
- Relevant certifications (e.g., Databricks Certified Data Engineer, Microsoft Power BI Data Analyst, Workday Reporting Specialist) are a plus.
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