# Data Engineer

> Weekday AI · Hyderabad, India · Full-time · Posted 2026-06-11

**Salary:** INR 500,000–1,000,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## 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, partition pruning, materialized views, caching mechanisms, and warehouse tuning.
-   Manage Snowflake warehouse resources effectively to balance system performance, scalability, and operational costs.
-   Design and implement logical and physical data models that support reporting, business intelligence, self-service analytics, and advanced analytical workloads.
-   Develop dimensional models including star schemas, snowflake schemas, normalized, and denormalized structures based on business requirements.
-   Collaborate with cross-functional teams to understand data requirements and translate them into scalable technical solutions.
-   Implement ETL best practices, including incremental loading, change data capture (CDC), auditing, reconciliation, error handling, and performance monitoring.
-   Establish data quality controls and validation processes to ensure the integrity and accuracy of enterprise data assets.
-   Troubleshoot and resolve data pipeline failures, performance bottlenecks, and production issues in a timely manner.
-   Create and maintain technical documentation for data flows, architecture designs, data models, and operational procedures.
-   Support continuous improvement initiatives by identifying opportunities for automation, optimization, and process enhancement.
-   Ensure adherence to data governance, security, compliance, and best practices across all data engineering activities.

### What Makes You a Great Fit

-   Strong hands-on experience with Snowflake and cloud-based data warehouse technologies.
-   Proven expertise in designing, developing, and supporting enterprise-scale ETL/ELT solutions.
-   Advanced SQL skills with experience in query optimization, performance tuning, and database development.
-   Proficiency in Python for data processing, automation, scripting, and pipeline development.
-   Experience working with Azure Data Factory (ADF) or similar cloud-based data integration platforms.
-   Solid understanding of data warehousing concepts, dimensional modeling, and database design principles.
-   Knowledge of incremental loading strategies, ETL auditing, data validation, and data quality management techniques.
-   Experience optimizing Snowflake environments for scalability, performance, and cost efficiency.
-   Strong analytical and problem-solving abilities with attention to detail and a focus on delivering high-quality solutions.
-   Ability to work effectively in cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.
-   Familiarity with Agile development methodologies and modern software engineering best practices.
-   Self-motivated mindset with the ability to manage multiple priorities in a dynamic and fast-paced environment.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/8E1F8A284F/apply)

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