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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 modern 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 issues and optimize workloads for performance and scalability.
- Follow established development, version-control, CI/CD, and Agile practices.

What Makes You a Great Fit
- 2+ years of hands-on experience in Data Engineering or a closely related role.
- Strong practical knowledge of at least one major cloud platform such as GCP, Azure, or AWS.
- Hands-on experience with Databricks, BigQuery, and cloud storage technologies.
- Strong proficiency in Python and SQL.
- Solid understanding of ETL/ELT processes, data pipelines, and data warehousing concepts.
- Experience working with both structured and unstructured data.
- Familiarity with Apache Airflow or Cloud Composer.
- Exposure to Azure Data Factory (ADF) is an advantage.
- Knowledge of Git, CI/CD, and Agile development methodologies.
- Exposure to Kafka, Google Pub/Sub, or other streaming technologies is a plus.
- Strong analytical and problem-solving abilities with a proactive approach to troubleshooting.
- Positive communication skills and the ability to collaborate effectively with technical and cross-functional teams.
- A strong sense of ownership and enthusiasm for learning and working with modern cloud and data technologies.

📌 Data Engineer (Bengaluru)
🏢 Weekday AI
📍 Bengaluru