๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ณ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ณ-๐ญ๐ฑ ๐๐ฃ๐)Experience: 2+ yrsLocation: Bengaluru, Karnataka, IndiaJob Type: Full-timeWe 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.RequirementsKey ResponsibilitiesDesign, 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 Fit2+ 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.
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ณ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ญ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ณ-๐ญ๐ฑ ๐๐ฃ๐)
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.
At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.
At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.
