Success Oriented Solutions
Data Engineer – Snowflake, DBT
Location
India
Posted
2 days ago
Salary
0
Seniority
Senior
Job Description
Data Engineer – Snowflake, DBT
Everest Technologies, Inc
• Design, develop, and maintain robust data transformation pipelines using dbt (Data Build Tool) to implement version-controlled, tested, and documented data models. • Architect, manage, and optimize enterprise-scale data warehouses within Snowflake, ensuring optimal storage, compute sizing, clustering, and data sharing strategies. • Build scalable ingestion pipelines to extract data from various enterprise source systems (such as ERPs like SAP or Oracle, CRM platforms, and operational databases) and load it into Snowflake. • Troubleshoot and fine-tune complex SQL queries, dbt models, and Snowflake warehouse utilization to improve execution speeds and manage costs efficiently. • Establish rigorous data quality checks, testing frameworks (using dbt test configurations), and data monitoring patterns to ensure enterprise data reliability and lineage accuracy. • Implement and maintain best practices for modern data stack workflows, utilizing Git and CI/CD pipelines (e.g., GitHub Actions, GitLab CI) for seamless deployment of data models.
Job Requirements
- 5+ years of dedicated data engineering experience, with a heavy emphasis on data warehouse modeling and pipeline development.
- In-depth, production-level experience with Snowflake architecture, Snowpipe, tasks, streams, cloning, and secure data sharing.
- Advanced proficiency with dbt Core or dbt Cloud, macros, packages, and custom testing strategies.
- Expert-level mastery of SQL (complex joins, window functions, and query optimization techniques).
- Strong working knowledge of Python or Scala for building custom data utilities or ingestion scripts.
- Strong command of Git workflows for collaborative data modeling and code reviews.
- Familiarity operating within Agile/Scrum delivery environments with a clear understanding of DevOps/DataOps principles.
- Prior experience in heavy manufacturing, building materials, logistics, or infrastructure domains.
- Certifications such as SnowPro Core / Advanced or dbt Certified Developer.
- Experience with orchestration tools such as Apache Airflow, Prefect, or Dagster.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native data security principles.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Apoiar o desenvolvimento e evolução de iniciativas de plataforma de dados no Google Cloud Platform (GCP) • Trabalhar com serviços de dados do GCP, contribuindo para atividades de engenharia de dados e apoiando práticas de governança de dados quando aplicável
• Design, develop, and maintain scalable, secure, and reliable data pipelines using Databricks, Spark, and cloud-native technologies. • Build and optimize metadata-driven ETL/ELT pipelines. • Integrate data from multiple internal and external systems into analytics-ready datasets. • Support AI/ML and advanced analytics initiatives through high-quality data assets. • Implement data quality controls, monitoring, and validation frameworks. • Troubleshoot data pipeline failures and resolve production issues. • Optimize data processing performance and ensure operational reliability. • Collaborate with Data Science, Analytics, Product, and Engineering teams. • Develop curated datasets for reporting and visualization platforms such as Tableau and Power BI. • Provide technical mentorship and contribute to engineering best practices.
• Designing, generating, and validating high-quality artificial member data to support testing, analytics, and system integration. • Build synthetic data scenarios using tools such as GenRocket, ensuring alignment with complex healthcare business rules, membership processes, and data models. • Oversee the end-to-end data lifecycle—from EDI intake through transformation, validation, and integration into downstream platforms—ensuring data integrity, accuracy, and usability. • Collaborate with business and technical partners to deliver reliable, compliant, and test-ready data assets, while identifying opportunities to improve data generation, validation, and integration processes. • Operate within Humana's enterprise data governance, security, and architectural standards. • Report to an Associate Director of Technology Leadership. • Collaborate with teams to design, build, and maintain scalable data solutions with a specialized focus on synthetic member data generation, EDI processing, and data validation. • Ensure data is accurate, testable, and aligned with enterprise standards for reliability, accessibility, and security.
AWS Data Architect
ExavaluDigital Transformation Consulting Leader with expertise in business/ technology advisory and digital platform solutions
• Seeking an experienced Technical Architect to design scalable, high-performance data solutions. • Translate business and functional requirements into technical architecture and designs. • String hands-on knowledge on Python, Teradata, Redshift. • Must have done a couple of Data Platform modernization programs on AWS. • Strong knowledge on AWS PostgreSQL, Redshift and Teradata. • Architect data solutions using AWS, PostgreSQL. • Design and review high-quality Python solutions. • Lead SQL design and performance tuning on large datasets. • Provide technical leadership, code reviews, and best-practice guidance. • Collaborate with cross-functional teams for end-to-end delivery.
