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Data Engineer

Data Engineer

Logic PursuitsGreater Hyderabad Area, India
17 days ago
Job description

Job Title : Data Engineer (Snowflake + dbt)

Location : Hyderabad, India

Job Type : Full-time

Job Description :

We are looking for an experienced and results-driven Data Engineer to join our growing Data Engineering team. The ideal candidate will be proficient in building scalable, high-performance data transformation pipelines using Snowflake and dbt, and able to effectively work in a consulting setup. In this role, you will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making across the client’s organization.

Key Responsibilities :

  • Design and implement scalable ELT pipelines using dbt on Snowflake, following industry-accepted best practices.
  • Build ingestion pipelines from various sources including relational databases, APIs, cloud storage, and flat files into Snowflake.
  • Implement data modelling and transformation logic to support layered architecture (e.g., staging, intermediate, and mart layers or medallion architecture) to enable reliable and reusable data assets.
  • Leverage orchestration tools (e.g., Airflow, dbt Cloud, or Azure Data Factory) to schedule and monitor data workflows.
  • Apply dbt best practices : modular SQL development, testing, documentation, and version control.
  • Perform performance optimizations in dbt / Snowflake through clustering, query profiling, materialization, partitioning, and efficient SQL design.
  • Apply CI / CD and Git-based workflows for version-controlled deployments.
  • Contribute to growing internal knowledge base of dbt macros, conventions, and testing frameworks.
  • Collaborate with multiple stakeholders such as data analysts, data scientists, and data architects to understand requirements and deliver clean, validated datasets.
  • Write well-documented, maintainable code using Git for version control and CI / CD processes.
  • Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
  • Support consulting engagements through clear documentation, demos, and delivery of client-ready solutions.

Required Qualifications :

  • 3 to 5 years of experience in data engineering roles, with 2+ years of hands-on experience in Snowflake and dbt.
  • Experience building and deploying dbt models in a production environment.
  • Expert-level SQL and strong understanding of ELT principles. Strong understanding of ELT patterns and data modelling (Kimball / Dimensional preferred).
  • Familiarity with data quality and validation techniques : dbt tests, dbt docs, etc.
  • Experience with Git, CI / CD, and deployment workflows in a team setting.
  • Familiarity with orchestrating workflows using tools like dbt Cloud, Airflow, or Azure Data Factory.
  • Core Competencies :

    Data Engineering and ELT Development :

  • Building robust and modular data pipelines using dbt.
  • Writing efficient SQL for data transformation and performance tuning in Snowflake.
  • Managing environments, sources, and deployment pipelines in dbt.
  • Cloud Data Platform Expertise :

  • Strong proficiency with Snowflake : warehouse sizing, query profiling, data loading, and performance optimization.
  • Experience working with cloud storage (Azure Data Lake, AWS S3, or GCS) for ingestion and external stages.
  • Technical Toolset :

  • Languages & Frameworks :
  • Python : For data transformation, notebook development, automation.
  • SQL : Strong grasp of SQL for querying and performance tuning.
  • Best Practices and Standards :

  • Knowledge of modern data architecture concepts including layered architecture (e.g., staging → intermediate → marts, Medallion architecture).
  • Familiarity with data quality, unit testing (dbt tests), and documentation (dbt docs).
  • Security & Governance :

  • Access and Permissions :
  • Understanding of access control within Snowflake (RBAC), role hierarchies, and secure data handling.
  • Familiar with data privacy policies (GDPR basics), encryption at rest / in transit.
  • Deployment & Monitoring :

  • DevOps and Automation :
  • Version control using Git, experience with CI / CD practices in a data context.
  • Monitoring and logging of pipeline executions, alerting on failures.
  • Soft Skills :

  • Communication & Collaboration :
  • Ability to present solutions and handle client demos / discussions.
  • Work closely with onshore and offshore teams of analysts, data scientists, and architects.
  • Ability to document pipelines and transformations clearly.
  • Basic Agile / Scrum familiarity – working in sprints and logging tasks.
  • Comfort with ambiguity, competing priorities, and fast-changing client environment.
  • Nice to Have :

  • Experience in client-facing roles or consulting engagements.
  • Exposure to AI / ML data pipelines, feature stores.
  • Exposure to ML flow for basic ML model tracking.
  • Experience / Exposure using Data quality tooling.
  • Education :

  • Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.
  • Certifications such as Snowflake SnowPro, dbt Certified Developer Data Engineering are a plus.
  • Why Join Us?

  • Opportunity to work on diverse and challenging projects in a consulting environment.
  • Collaborative work culture that values innovation and curiosity.
  • Access to cutting-edge technologies and a focus on professional development.
  • Competitive compensation and benefits package.
  • Be part of a dynamic team delivering impactful data solutions.
  • About Us :

    Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, leading to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

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