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

Jobs

Interviews

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

Data Engineer

Weekday AI (YC W21)

3 years

0 Lacs

bengaluru karnataka india

Posted:21 hours ago| Platform:

Apply

Skills Required

data design relational postgresql mysql nosql mongodb tuning aws azure gcp storage processing analytics scalability orchestration apache airflow kafka support querying power looker automation collaboration reliability containerization docker kubernetes governance management engineering python sql etl redshift dataflow monitoring checks troubleshooting pipeline spark workflow communication presentation

Work Mode

On-site

Job Type

Full Time

Job Description

This role is for one of the Weekday's clients

Min Experience: 3 yearsLocation: BangaloreJobType: full-timeWe are seeking a highly skilled and motivated

Data Engineer

to join our data team. In this role, you will design, build, and maintain scalable data infrastructure that powers data-driven decision-making across the organization.

Requirements

Key Responsibilities

Manage and optimize relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB), including performance tuning and schema evolution.
Leverage cloud platforms (AWS, Azure, GCP) for data storage, processing, and analytics—optimizing cost, performance, and scalability using cloud-native services.
Design, develop, and maintain robust, fault-tolerant data pipelines using modern orchestration tools (Apache Airflow, Apache Flink, Dagster).
Implement and manage real-time data streaming solutions (Apache Kafka, Kinesis, Pub/Sub).
Design data models that support efficient querying and integrate with BI tools such as Metabase, Power BI, Looker, or QuickSight.
Collaborate with Data Scientists, Analysts, and business teams to translate requirements into technical solutions.
Apply DataOps principles to improve automation, collaboration, and reliability of data processes.
Work with containerization (Docker) and orchestration (Kubernetes) for deploying and managing data services.
Implement data governance practices, including data lineage, metadata management, and quality frameworks.
Stay updated on emerging data engineering tools and best practices, recommending adoption where relevant.

Skills & Qualifications

Essential

Strong proficiency in Python, SQL, and MongoDB.
Hands-on experience with relational databases (PostgreSQL, MySQL) and NoSQL databases.
Solid understanding of data modeling, data warehousing principles, and ETL/ELT methodologies.
Expertise with cloud platforms (AWS, Azure, GCP), including services for data storage (S3, ADLS Gen2, GCS), data warehouses (Redshift, Snowflake, BigQuery), and managed data processing services (AWS Glue, Azure Data Factory, Google Dataflow).
Experience in building and monitoring data pipelines with automated quality checks.
Familiarity with BI tools (Metabase, Power BI, Looker, QuickSight).
Strong analytical and troubleshooting skills for complex pipeline issues.

Preferred

Experience with Data Lake, Data Lakehouse, or Data Mesh architectures.
Hands-on expertise with Apache Spark, Kafka, and stream processing (Flink, Spark Streaming).
Familiarity with workflow orchestration tools (Airflow, Dagster).
Understanding of DataOps/MLOps principles and data observability tools.
Strong communication and presentation skills.

Core Skills

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.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

Weekday AI (YC W21)

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Data Engineer