𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟭𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟳-𝟭𝟱 𝗟𝗣𝗔)

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.