Weekday AI

DataEngineer

₹5–10L Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Engineer at Weekday AI. Skills: Data Engineering, Snowflake, ETL/ELT, Python. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”

Industry & Context.

Problems you'll solve

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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