Weekday AI
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Weekday AI. Skills: Data Engineering, Snowflake, ETL/ELT, Python. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”
Industry & Context.
Analytical abilities; Problem-solving abilities
What They're Looking For.
Must Have
3+ years experience, Snowflake expertise, Data warehousing expertise, Python proficiency, ETL/ELT development expertise, Advanced SQL skills, Azure Data Factory experience
Nice to Have
PhD preferred, Cloud platform certifications
What You'll Do.
Design ETL/ELT pipelines
Develop ETL/ELT pipelines
Maintain ETL/ELT pipelines
Load data into Snowflake
Build data ingestion workflows
Manage data ingestion workflows
Develop data transformation processes
Monitor query performance
Enhance query performance
Manage Snowflake warehouse resources
Implement data models
Develop dimensional models
Collaborate with teams
Understand data requirements
Translate requirements into solutions
Implement ETL best practices
Establish data quality controls
Perform data validation
Troubleshoot data pipeline failures
Resolve performance bottlenecks
Resolve production issues
Create technical documentation
Maintain technical documentation
Support continuous improvement
Identify automation opportunities
Identify optimization opportunities
Ensure data governance adherence
Ensure security adherence
Ensure compliance adherence
Ensure best practices adherence
How You'll Work.
Team & Collaboration
Cross-functional teams; Business stakeholders; Analysts; Data architects; Development teams
Process & Methodology
Agile methodologies
Full Job Description
**This role is for one of the Weekday's clients** **Salary range: Rs 500000 - Rs 1000000 (ie INR 5-10 LPA)** Experience: 3+ yrs Location: Hyderabad Job Type: full-time We are looking for a highly motivated and experienced Data Engineer with strong expertise in Snowflake, Data Warehousing, Python, and ETL/ELT development. The ideal candidate will be responsible for designing, developing, and maintaining scalable data platforms that enable efficient data processing, reporting, and analytics across the organization. This role requires a deep understanding of modern cloud-based data architectures, data integration frameworks, and performance optimization techniques to support business intelligence and data-driven decision-making. As a Data Engineer, you will work closely with business stakeholders, analysts, data architects, and development teams to build reliable and high-performing data solutions. You will play a key role in developing end-to-end data pipelines, ensuring data quality, implementing robust data models, and optimizing Snowflake environments for performance and cost efficiency. The position offers an opportunity to work with large-scale datasets, modern cloud technologies, and enterprise-grade analytics platforms in a fast-paced and collaborative environment. **Requirements** ### Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load structured, semi-structured, and unstructured data into Snowflake. * Build and manage data ingestion workflows using Azure Data Factory (ADF), Python, SQL, and other integration technologies. * Develop robust data transformation processes that ensure data consistency, accuracy, and reliability across multiple systems. * Write, maintain, and optimize complex SQL queries, stored procedures, views, tasks, streams, and user-defined functions (UDFs) within Snowflake. * Monitor and enhance query performance through advanced optimization techniques such as clustering keys, part
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