Weekday AI

SeniorDataengineer

₹15–20L Bangalore, India; Pune, Maharashtra, India; Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Problems you'll solve

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

Free ATS check

Applying for this Senior Data engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Weekday AI?

Real rants from real employees. Read before you apply.

Read Company Rants →