Weekday AI

Proactive software engineer recruitment via referrals

Data Engineer

Data EngineeringPosted on Nov 12

Full-timeBengaluru, Karnataka, India₹1M - ₹2MIn-person

About the Job

Requirements

At least 7 years of experience in data engineering, with hands-on expertise in Python, SQL, and extract, transform, and load (ETL) or extract, load, and transform (ELT) processes.
Experience with Azure Data Factory, Azure Databricks, and Azure Data Lake Storage.
Strong understanding of data warehousing, data modelling, database architecture, and data management concepts.
Experience designing, developing, and optimizing scalable data pipelines for processing large datasets.
Hands-on experience in data ingestion, transformation, integration, and workflow orchestration.
Experience with PySpark and distributed data processing.
Knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platform.
Understanding of data quality, validation, monitoring, and performance optimization.
Experience troubleshooting data pipeline issues and ensuring data reliability.
Knowledge of data security, governance, and best practices.
Strong analytical and problem-solving skills.
Ability to work with cross-functional teams and translate business requirements into effective data engineering solutions.

Desired Qualifications

Knowledge of AWS or Google Cloud Platform.

Data Engineer

Weekday AI · Bengaluru, India · Full-time · Posted 2026-11-12

Salary: INR 1,000,000–2,000,000

Workplace: on_site

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients
Salary range: Rs 1000000 - Rs 2000000 (ie INR 10 - 20 LPA)

Min Experience: 7+ years
Location: Bengaluru, Karnataka, India
JobType: full-time

Requirements

 7-8 years of experience in Data Engineering, with strong hands-on expertise in Python, SQL, and ETL/ELT processes.

 Experience with Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS).

 Strong understanding of data warehousing, data modelling, database architecture, and data management concepts.

 Experience designing, developing, and optimizing scalable data pipelines for processing large datasets.

 Hands-on experience in data ingestion, transformation, integration, and workflow orchestration.

 Experience with PySpark and distributed data processing.  Knowledge of cloud platforms such as Azure, AWS, or GCP.

 Understanding of data quality, validation, monitoring, and performance optimization.

 Experience in troubleshooting data pipeline issues and ensuring data reliability.

 Knowledge of data security, governance, and best practices.

 Strong analytical, problem-solving, and communication skills.

 Ability to work with cross-functional teams and translate business requirements into effective data engineering solutions.

Must-have skills

Python, ETL

Good-to-have skills

AWS, GCP

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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