13 Dbt Jobs

Introduction A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your Role And Respons...

Senior AI/ML Data Developer Primary Skills: AI/ML Snowflake Python PySpark Secondary: dbt Airflow SQL Key Responsibilities Design, develop, and maintain AI/ML-focused data pipelines using Python and PySpark Build scalable data processing and feature engineering pipelines for model training and inference Develop and optimize Snowflake-based data models to support AI/ML workloads and advanced analytics Implement PySpark jobs for large-scale data transformations and ML data preparation Collaborate with data scientists and ML engineers to operationalize AI/ML models Support the ML lifecycle, including data ingestion, feature generation, training, and inference pipelines Optimize performance and ...

Role Overview: As a Data Platform Engineer at Gen, you will play a vital role in shaping the strategic direction and architecture of the data infrastructure. This high-visibility position involves co-owning the platform architecture, setting technical standards, and driving initiatives that directly impact the data strategy of the organization. Your contributions will be instrumental in leading the technical evolution from legacy infrastructure to a modern cloud-first platform. Key Responsibilities: - Co-own and evolve the overall data platform architecture across all domains - Guide the technical vision for the Data Engineering organization - Drive platform initiatives supporting the compan...

Minimum 3 years of experience in developing applications programs to implement the ETL workflow by creating the ETL jobs, data models in datamarts using Snowflake, DBT, Unix, SQL technologies. Redesign Control M Batch processing for the ETL job build to run efficiently in Production. Study existing system to evaluate effectiveness and developed new system to improve efficiency and workflow. Responsibilities: Perform requirements identification; conduct business program analysis, testing, and system enhancements while providing production support. Developer should have good understanding of working in Agile environment, Good understanding of JIRA, Sharepoint tools. Good written and verbal com...

Snowflake Data Engineer: Experience in creating and monitoring SNOW PIPE for continuous data ingestion from source. Experience in Loading data into snowflake tables from the internal stage using Snow SQL (CLI) Work alongside customers to build data management platforms using AWS products like Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Lake Formation, S3, AWS Glue, DynamoDB, ElastiCache and the Relational Database Service (RDS) Hands on experience in Python. Well experience on other AWS services EC2, EMR, Redshift, S3, Streaming services like Kafka, Kinesis, HDFS. Experience in AWS + Snowflake/Redshift implementation is must.

* Establish and implement best practices for DBT workflows, ensuring efficiency, reliability, and maintainability. * Collaborate with data analysts, engineers, and business teams to align data transformations with business needs. * Monitor and troubleshoot data pipelines to ensure accuracy and performance. * Work with Azure-based cloud technologies to support data storage, transformation, and processing Required education Bachelor''s Degree Preferred education Master''s Degree Required technical and professional expertise * Strong MS SQL, Azure Databricks experience * Implement and manage data models in DBT, data transformation and alignment with business requirements. * Ingest raw, unstruct...

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing Collaborating closely with diverse teams, you'll play an important role in deciding the most...

Summary Join the AI and Data Platforms team at Apple, where we build and manage cloud-based data platforms handling petabytes of data at scale. We are looking for a passionate and independent Software Engineer specializing in reliability engineering for data platforms, with a strong understanding of data and ML systems. If you thrive in a fast-paced environment, love crafting solutions that don't yet exist, and possess excellent communication skills to collaborate across diverse teams, we invite you to contribute to Apple's high standards in an exciting and dynamic setting. Description As part of our team, you will be responsible for developing and operating our big data platform using open ...

* Establish and implement best practices for DBT workflows, ensuring efficiency, reliability, and maintainability. * Collaborate with data analysts, engineers, and business teams to align data transformations with business needs. * Monitor and troubleshoot data pipelines to ensure accuracy and performance. * Work with Azure-based cloud technologies to support data storage, transformation, and processing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * Strong MS SQL, Azure Databricks experience * Implement and manage data models in DBT, data transformation and alignment with business requirements. * Ingest raw, unstructur...

As a Product Owner III, your role will involve defining and prioritizing features and user stories, outlining acceptance criteria, and collaborating with cross-functional teams to ensure successful delivery of product increments. You will need strong communication skills to effectively engage with stakeholders, gather requirements, and facilitate product demos. Key Responsibilities: - Define and communicate the vision, roadmap, and backlog for data products. - Manage team backlog items and prioritize based on business value. - Partner with the business owner to understand needs, manage scope, and add/eliminate user stories while contributing heavy influence to build an effective strategy. - ...

As a Senior Data Engineer, you will be responsible for leading the design, development, and implementation of scalable data pipelines and ELT processes using tools such as Databricks, DLT, dbt, and Airflow. Your main responsibilities will include collaborating with stakeholders to understand data requirements, delivering high-quality data solutions, and optimizing existing data pipelines to ensure data quality, reliability, and performance. Additionally, you will develop and enforce data engineering best practices, mentor junior data engineers, and monitor and troubleshoot data pipeline issues to ensure minimal disruption to business operations. Qualifications: - Bachelor's degree in Managem...

Key Responsibilities Design and implement scalable data models using Snowflake and Erwin Data Modeler Build and maintain efficient data pipelines using DBT and GCP services like BigQuery, Cloud Storage, and Dataflow Reverse engineer legacy systems (e.g., Sailfish, DDMS) using tools like DBeaver to analyze and recreate data models Write and optimize SQL queries and stored procedures for data transformation, validation, and performance Collaborate with business analysts and stakeholders to translate requirements into logical and physical data models Optimize Snowflake data warehouse performance, enforce security, and ensure data quality Document metadata, data lineage, and business rules assoc...

Must-Have Skills : Snowflake architecture, schema design, and data warehouse experience. DBT (Data Build Tool) for data transformation and pipeline development. Strong expertise in SQL (query optimization, complex joins, window functions, etc.) Hands-on experience with Erwin Data Modeler (logical and physical modeling). Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : Experience with CI/CD tools and DevOps for data environments. Familiarity with data governance, security, and privacy practices. Exposure to Agile methodologies and working in distributed teams. Knowledge of Python...