
51 - 200 employees
Founded 1994
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Object Edge is a technology consultancy that specializes in optimizing and building revenue systems for enterprises, particularly in the manufacturing and distribution sectors. The company provides a range of services including digital transformation, generative AI consulting, data management and analytics, experience design, and eCommerce implementation. Object Edge is known for its B2B technology consulting, offering expertise in CPQ (Configure, Price, Quote) solutions and subscription management. They emphasize an agile, consultative approach to understand and address the unique needs of their clients. Object Edge partners with leading technology platforms like Salesforce, commercetools, Oracle, and others to deliver tailored solutions.
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51 - 200 employees
Founded 1994
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Object Edge is a technology consultancy that specializes in optimizing and building revenue systems for enterprises, particularly in the manufacturing and distribution sectors. The company provides a range of services including digital transformation, generative AI consulting, data management and analytics, experience design, and eCommerce implementation. Object Edge is known for its B2B technology consulting, offering expertise in CPQ (Configure, Price, Quote) solutions and subscription management. They emphasize an agile, consultative approach to understand and address the unique needs of their clients. Object Edge partners with leading technology platforms like Salesforce, commercetools, Oracle, and others to deliver tailored solutions.
• Serve as a technical leader on teams delivering innovative solutions on the Databricks Platform • Build next-generation data platforms using cloud data lakehouse methodologies, distributed processing engines, event streaming platforms, and modern data technologies • Participate in the Databricks Center of Excellence • Work under a Solution Architect to design and implement components of clients’ data platform solutions • Participate in design sessions, break down complex development tasks, and complete development items on time • Contribute to Center of Excellence initiatives by developing Databricks solution accelerators • Develop and implement data solutions using Databricks • Collaborate with cross-functional teams to design and optimize batch and streaming data pipelines while ensuring data quality and efficiency • Stay current with emerging technologies and Databricks platform features and continuously improve relevant skills
• 5+ years of data engineering experience, with at least 2 years of hands-on data pipeline design and development experience with Databricks • Experience with Databricks platform features including Delta Lake, Uniform (Iceberg), Delta Live Tables (Lakeflow Declarative Pipelines), and Unity Catalog • Proficiency in designing and building robust, scalable, YAML configuration driven data pipelines with batch, micro-batch, and streaming data ingestion and processing patterns using tools like Auto Loader • Experience building complex job/workflow orchestration patterns using Databricks jobs/workflows or tools such as Airflow and dbt • Exposure to data quality, pipeline audit, and observability solutions using Databricks native features or tools/frameworks such as Great Expectations, Collibra, and dbt • Proficiency in Apache Spark, Presto, and Amazon EMR • Experience with Amazon Redshift, Snowflake, and Google BigQuery • Strong programming skills using SQL, stored procedures, and object-oriented programming languages such as Java, Python, and PySpark • Familiarity with DevOps and CI/CD pipelines using Databricks Asset Bundles with automated validation and testing • Exposure to Infrastructure as Code tools such as Terraform is a big plus • Familiarity with NoSQL databases and container management systems • Exposure to AI/ML tools such as MLflow, prompt engineering, and modern data and AI agentic workflows • Databricks Data Engineering Associate and/or Professional certification is ideal, not explicitly required • Multiple Databricks project delivery experience is ideal
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