Data Engineer

' : - ( - ) 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. - Good 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.