Develop and maintain scalable data transformation and ELT pipelines using DBT and Snowflake. Build DBT models, macros, snapshots, seeds, and tests; optimize SQL and Snowflake workloads; perform data quality checks and troubleshooting; translate business requirements into data solutions; and support governance, documentation, CI/CD, deployments, code reviews, and production workflows.
What Ibexlabs Do
Ibexlabs is one of the leading software development and service companies. We build cloud native B2B SaaS software helping customers in their cloud transformation journey. We are rapidly growing and looking to hire smart people who can continue fueling our growth and be part of our success journey.
Job description
We are seeking a highly skilled Snowflake DBT Developer with at least 5+ years of experience in cloud data warehousing, data transformation, and modern ELT development. The ideal candidate must possess strong hands-on expertise in Snowflake DBT as the primary skill, along with good working knowledge of SQL and data modeling concepts. The candidate should be capable of working independently in a fast-paced delivery environment and managing end-to-end data transformation and analytics engineering deliverables.
Qualification
• 5+ years of experience in Data Engineering, Analytics Engineering, or Data Warehousing projects.
• Strong hands-on experience in DBT (mandatory and primary skill), with expertise in developing and maintaining scalable data transformation pipelines.
• Good working knowledge of Snowflake, SQL, data modeling, and modern ELT best practices.
Key Responsibilities
• Design, develop, test, and deploy scalable data transformation solutions using Snowflake DBT.
• Build and maintain robust ELT pipelines for data ingestion, transformation, validation, and reporting.
• Develop and optimize DBT models, macros, snapshots, seeds, and tests to support enterprise data platforms.
• Analyze business requirements and translate them into efficient and reusable data transformation solutions.
• Perform data quality checks, troubleshooting, and performance tuning of DBT models and Snowflake workloads.
• Collaborate with data architects, data engineers, business analysts, and stakeholders to deliver high-quality data solutions.
• Ensure adherence to coding standards, data governance policies, best practices, and documentation requirements.
• Participate in code reviews, release deployments, and CI/CD processes for DBT projects.
• Independently manage assigned deliverables and provide production support for critical data transformation workflows.
Required Skills
• Minimum 5 years of experience in Data Engineering, Analytics Engineering, or Data Warehousing.
• Strong hands-on experience with Snowflake DBT development and implementation.
• Advanced SQL development and query optimization skills.
• Strong understanding of data modeling concepts, including dimensional modeling and star schemas.
• Knowledge of CI/CD practices and deployment frameworks.
• Strong analytical, problem-solving, and communication skills.
3 Must have skills
DBT (Data Build Tool) , Snowflake , ETL/Data Engineering
Similar Jobs
Artificial Intelligence • Cloud • Software
Build and maintain scalable data products using Snowflake, dbt, and Airflow. Responsibilities include dimensional data modeling, SQL transformations, pipeline orchestration, data quality testing, exploratory analysis, SLA monitoring, documentation, and stakeholder requirement gathering. Partner with analytics, product, engineering, and business teams to deliver reliable, production-ready datasets while following software engineering, CI/CD, testing, and deployment practices.
Top Skills:
Apache AirflowDbtPythonSnowflakeSQL
Cloud • Analytics • Consulting
Lead hands-on data engineering teams migrating legacy platforms to Snowflake using dbt. Own model development standards, code reviews, validation and reconciliation frameworks, parallel runs, cutover execution, performance and cost optimization. Mentor 5–10 engineers, enforce engineering discipline and AI-assisted development practices, and coordinate with architects and QA on migration milestones.
Top Skills:
AirflowAWSDagsterDbtSnowflakeSQL
Cloud • Information Technology • Internet of Things • Professional Services • Software
Design and own enterprise data architecture and roadmap, modernize legacy systems to cloud-native platforms, define modeling, governance, integration and real-time patterns, select and evaluate data platform technologies, mentor teams, and provide architectural oversight to ensure scalable, secure, and performant data solutions for analytics and ML.
Top Skills:
AirflowAWSBigQueryCloudFormationDbtDockerGCPInformaticaJavaKafkaKubernetesNoSQLPub/SubPythonSnowflakeSQLTerraform
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
