Weekday AI
SeniorDataengineer
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“Senior Data engineer at Weekday AI. Skills: Data Engineering, Data Warehousing, ETL/ELT, Snowflake, DBT, Airflow, Python. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”
What You'll Achieve.
Drive best practices in data engineering; Drive best practices in automation; Drive best practices in performance optimization; Drive data-driven decision-making
Industry & Context.
Analytical; Troubleshooting; Problem-solving
What They're Looking For.
Must Have
5-10 years of professional experience in Data Engineering, 5+ years of expertise in building and managing modern data platforms, Hands-on experience with Snowflake, Hands-on experience with DBT, Hands-on experience with Airflow, Hands-on experience with Python, Hands-on experience with IICS, Solid understanding of cloud-based data architectures, Solid understanding of data integration frameworks, Advanced proficiency in Python, Command of SQL, Experience working with cloud platforms, Knowledge of CI/CD pipelines, Knowledge of Git, Knowledge of modern software development practices
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Design ETL/ELT pipelines
Develop ETL/ELT pipelines
Maintain ETL/ELT pipelines
Integrate data from multiple sources
Build data transformation workflows
Manage data transformation workflows
Develop Snowflake data warehouse solutions
Optimize Snowflake data warehouse solutions
Create workflow orchestration processes
Maintain workflow orchestration processes
Develop Python-based solutions
Implement ETL/ELT workflows using IICS
Support reporting use cases
Support analytics use cases
Support business intelligence use cases
Monitor data pipelines
Ensure high availability
Collaborate with business stakeholders
Collaborate with analysts
Collaborate with engineering teams
Understand data requirements
Translate requirements into technical solutions
Implement data quality checks
Implement validation frameworks
Implement monitoring processes
Maintain data integrity
Optimize database performance
Optimize warehouse performance
Participate in code reviews
Participate in technical design discussions
Participate in continuous improvement initiatives
Support CI/CD implementation
Support deployment automation
Support version control best practices
Ensure adherence to data governance
Ensure adherence to data security
Ensure adherence to compliance standards
How You'll Work.
Team & Collaboration
Cross-functional teams; Collaborative environments
Communication Scope
Stakeholder management
Process & Methodology
CI/CD, Version control
Full Job Description
**This role is for one of the Weekday's clients** **Salary range: Rs 1500000 - Rs 2000000 (ie INR 15-20 LPA)** Experience: 5+ yrs Location: Bangalore, PUNE, Hyderabad Job Type: full-time We are seeking an experienced Data Engineer with 5–10 years of expertise in building and managing modern data platforms. The ideal candidate will have strong hands-on experience with Snowflake, DBT, Airflow, Python, and IICS (Informatica Intelligent Cloud Services), along with a solid understanding of cloud-based data architectures and data integration frameworks. In this role, you will be responsible for designing, developing, and optimizing scalable data pipelines and analytical data models that support enterprise reporting, business intelligence, and advanced analytics initiatives. You will collaborate with cross-functional teams to deliver high-quality data solutions, ensure data reliability, and drive best practices in data engineering, automation, and performance optimization. **Requirements** ### Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for processing and integrating data from multiple sources. * Build and manage data transformation workflows using DBT, ensuring modular, reusable, and well-documented SQL development practices. * Develop and optimize Snowflake data warehouse solutions, including data modeling, query tuning, and warehouse performance optimization. * Create and maintain workflow orchestration processes using Airflow, including DAG development, scheduling, monitoring, and troubleshooting. * Develop Python-based solutions for data processing, automation, scripting, and integration requirements. * Design and implement ETL/ELT workflows using Informatica Intelligent Cloud Services (IICS). * Develop and maintain robust data models that support reporting, analytics, and business intelligence use cases. * Monitor data pipelines and workflows to ensure reliability, scalability, and high availability. * Collaborate with business sta
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