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Experience: 2+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are looking for a skilled
Data Engineer
to design, build, and support up-to-date cloud-based data solutions. This role is ideal for someone who enjoys working with large and complex datasets, developing reliable data pipelines, and transforming raw data into high-quality, analytics-ready information.

You will work across cloud platforms and modern data engineering technologies, with a strong focus on
GCP, Databricks, BigQuery, Python, SQL, and Spark/PySpark
. You will collaborate closely with data engineers, architects, BI teams, and other technical stakeholders to build scalable data platforms that support reporting, analytics, and business decision-making.

The role offers an opportunity to work across batch and near-real-time data processing while contributing to data quality, platform reliability, and continuous improvements in engineering practices.

Requirements
Key Responsibilities




- Design, develop, and maintain scalable data pipelines and ingestion workflows using GCP, Databricks, or other major cloud platforms
- Build data processing and transformation solutions using Python, SQL, Spark, and PySpark
- Develop and manage data workloads using Databricks Notebooks and Workflows
- Work extensively with BigQuery and Google Cloud Storage for data storage and processing
- Support scheduled, batch, and near-real-time data ingestion and processing requirements
- Develop reliable ETL/ELT workflows while following data engineering and data warehousing best practices
- Implement monitoring, validation, and quality checks to ensure pipeline reliability and data accuracy
- Prepare and maintain high-quality datasets for BI, reporting, and analytics teams
- Collaborate with engineers and architects to improve data platforms, architecture, and engineering practices
- Troubleshoot data pipeline

📌 Data Engineer (Bengaluru)
🏢 Weekday AI (YC W21)
📍 Bengaluru