Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home
>
Jobs in gurugram
>
Weekday AI (YC W21)
>
Senior Data Engineer

Senior Data Engineer

Weekday AI (YC W21)

5 years

0 Lacs

gurugram haryana india

Posted:4 days ago| Platform:

Apply

Skills Required

data aws sql orchestration design etl stack redshift storage analytics reporting airflow automate databricks processing integrity reliability security pipeline development optimization engineering model collaboration python scala devops pyspark

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 5 yearsLocation: GurgaonJobType: full-timeWe are seeking an experienced

Senior Data Engineer

with strong expertise in building and managing large-scale data pipelines within the AWS ecosystem. The ideal candidate will have a solid background in SQL, cloud-native data platforms, and orchestration frameworks, with a deep understanding of scalable data lake and warehouse architectures.

Requirements

Key Responsibilities

Design, develop, and maintain robust, scalable data pipelines and ETL/ELT workflows.
Leverage the AWS Data Stack (S3, Glue, Kinesis, Redshift, Data Lake) for data ingestion, transformation, and storage.
Write, optimize, and manage complex SQL queries for analytics and reporting needs.
Implement and manage data orchestration frameworks (e.g., Airflow, Step Functions) to automate and monitor workflows.
Utilize Databricks for advanced data processing, transformation, and analytics.
Ensure data quality, integrity, reliability, and security across the pipeline lifecycle.
Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data-driven solutions.

Required Skills & Qualifications

5-7 years of proven experience as a Data Engineer or in a similar role.
Strong expertise in SQL development and performance optimization.
Hands-on experience with AWS Data Stack (S3, Glue, Kinesis, Redshift, Data Lake).
Proficiency in designing and managing orchestration workflows for data pipelines.
Experience with Databricks for data engineering and transformation.
Strong understanding of data modeling, warehousing concepts, and ETL/ELT best practices.
Ability to thrive in a hybrid working model with cross-functional collaboration.

Nice to Have

Experience with Python or Scala for data engineering tasks.
Familiarity with CI/CD pipelines and DevOps practices for data workflows.
Exposure to real-time streaming pipelines and advanced analytics use cases.

Core Skills

PySpark

SQL
Databricks
AWS

More Jobs at Weekday AI (YC W21)

Senior Software Engineer - UI/UX

Mumbai Metropolitan Region

4 - 4 yrs

Salary: Not disclosed

Branch Manager

Mehsana, Gujarat, India

3 - 3 yrs

Salary: Not disclosed

Branch Manager

Surat, Gujarat, India

3 - 3 yrs

Salary: Not disclosed

Business Development Manager

Mumbai Metropolitan Region

3 - 3 yrs

Salary: Not disclosed

Presales and Solutions Engineer

Mumbai Metropolitan Region

2 - 2 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.