Data Engineer - Data Vault

Job Title Data Engineer Data Vault (Immediate Joiner only) Department Business Analytics Practice | Data Engineering & Decision Intelligence Layer Location Baner, Pune (Work from Office) About Inteliment At Inteliment, we help enterprises transform fragmented data into intelligent decision-making. As a Decision Intelligence Company (DIC), we engineer modern AI and data ecosystems that enable organizations to operate with greater clarity, speed, and precision. This is not a traditional data engineering role focused only on ETL development. You'll be responsible for building scalable enterprise data platforms using modern Data Vault architecture that power analytics, AI, and decision intelligence for global enterprises. With over 22 years of expertise in Data, AI, Analytics, and Cloud Engineering, Inteliment delivers cutting-edge solutions across industries by combining: Modern Data Engineering Data Vault Modeling Cloud Data Platforms Enterprise Analytics AI & Decision Intelligence Data Modernization Position Summary We are looking for an enthusiastic Data Engineer with 23 years of hands-on experience in Data Vault modeling and modern data engineering . The ideal candidate should have practical experience designing and implementing Data Vault 2.0 models , building scalable ETL/ELT pipelines, and working on cloud-based data platforms. Candidates who can join immediately or within 15 days will be given preference. Experience Mandatory 2–3 years of hands-on experience in Data Engineering Minimum 2 years of practical experience implementing Data Vault 2.0 architecture Strong experience in designing Hubs, Links, Satellites, PIT Tables and Bridge Tables Experience in developing scalable ETL/ELT pipelines Excellent SQL skills Hands-on experience with Python or Spark-based data processing Experience working with enterprise data warehouses Knowledge of dimensional modelling and Data Vault architecture Preferred Experience with Snowflake, Databricks, Azure Synapse or AWS data platforms Experience with Azure Data Factory, Airflow or similar orchestration tools Exposure to CI/CD pipelines Agile/Scrum development experience Role Focus As a Data Engineer, you will design and implement scalable enterprise data platforms based on Data Vault architecture to support analytics, reporting, AI, and decision intelligence. Your work will directly influence: Enterprise Data Modernization AI-ready Data Platforms Data Quality & Governance High-performance Analytics Enterprise Decision Intelligence Key Responsibilities Data Vault Development Design and develop Data Vault 2.0 models including Hubs, Links, Satellites, PIT and Bridge Tables. Build scalable enterprise data models aligned with business requirements. Data Engineering Develop and maintain robust ETL/ELT pipelines. Build ingestion frameworks for structured and semi-structured data. Integrate data from databases, APIs, cloud storage and enterprise applications. Data Platform Development Optimize enterprise data warehouses. Implement scalable cloud-native data solutions. Improve data processing performance. Data Quality & Governance Ensure data accuracy, lineage and consistency. Implement governance standards and best practices. Support metadata management and data validation. Performance Optimization Optimize SQL queries and pipeline execution. Improve warehouse performance and storage efficiency. Collaboration Work closely with Architects, Data Analysts, Business Analysts and Product teams. Participate in solution design discussions and sprint planning. Innovation Evaluate emerging technologies and continuously improve engineering practices. Technical Skills Mandatory Skills Data Vault 2.0 SQL Python ETL/ELT Development Data Warehousing Data Modelling Git Preferred Skills Snowflake Databricks Azure Data Factory Apache Spark Kafka Airflow AWS / Azure / GCP Qualifications Bachelor's or Master's degree in Computer Science, IT or related discipline. Relevant certifications in Cloud/Data Engineering will be an added advantage. Key Competencies Hands-on expertise in Data Vault implementation Strong analytical and problem-solving skills Excellent SQL optimization skills Cloud data platform experience Strong communication and stakeholder management Ownership and accountability Ability to work in Agile teams Why Join Inteliment? Work on enterprise-scale AI & Data Engineering projects Opportunity to build modern Data Vault solutions Exposure to Cloud, Analytics and Decision Intelligence platforms Collaborative engineering culture Continuous learning and career growth Immediate Hiring Immediate Joiners or candidates serving a notice period of up to 15 days are highly preferred. Apply Now Interested candidates may share their updated resume at hire@inteliment.com with the subject line: Application – Data Engineer (Data Vault)