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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.
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 issues and optimize workloads fo

📌 Data Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru