ZURU
Sr. Data Engineer
Job Description
About Us Zuru Tech is digitalizing the construction process of buildings all around the world. We have a multi-national team developing the world’s first digital building fabrication platform, you design, we build it! We at ZURU develop the Zuru Home app, a BIM software meant for the general public, architects, and engineers, from here anyone can buy, design, and send to manufacturing any type of building with complete design freedom. Welcome to the future! What are you Going to do?
📌Designing and managing scalable data pipelines and ETL processes across cloud platforms such as Snowflake, Databricks, Azure Synapse, Redshift, and BigQuery.📌Leading the development and deployment of advanced data models and optimizing data storage, retrieval, and processing techniques for downstream systems.📌Overseeing the end-to-end development of secure and performant data integration solutions, ensuring compliance with data governance and best practices.📌Architecting and implementing event-driven and streaming data frameworks to process and store real-time data.📌Collaborating closely with architects, senior engineers, and other project stakeholders to deliver seamless integration of additional components (e.g., APIs, search, and visualization tools). 📌 Evaluating and implementing Proof of Concepts (PoCs) for new data integration technologies, assessing their performance and suitability against business requirements. 📌 Actively contributing to Agile/DevOps processes, participating in sprint planning, code reviews, and continuous improvement initiatives. 📌 Mentoring junior data engineers and leading by example through technical leadership and hands-on support of critical projects
What are we Looking for?
✔ Strong problem-solving skills and the ability to resolve complex data engineering issues with minimal supervision. ✔ A leader in data engineering practices, with a focus on scalability, security, and automation. ✔ Collaborative and skilled in working in a team environment, particularly in Agile settings. ✔ A quick learner and an innovator, capable of evaluating emerging technologies and adapting them to meet project needs. ✔ Passionate about data engineering and eager to mentor junior engineers while driving high-impact projects.
Required Skills
✔ AWS, Azure, GCP (Expertise in at least one) ✔ Apache Kafka, ELK, Grafana ✔ Snowflake, Databricks, Redshift, Azure Synapse, BigQuery ✔ ETL & Pipelines ✔ Proficient in Python, PySpark, SQL ✔ Expertise in Blob, S3, Object Stores, MinIO ✔ Strong understanding of data modeling techniques ✔ Familiarity with cloud networking (VPC, Virtual Network) and IAM policies for secure data handling ✔ Hands-on experience with DevOps methodologies, automation frameworks, and Agile development practices ✔ Proven experience migrating data from on-premises systems to cloud data warehouses
What do we Offer? 💰 Competitive compensation 💰 Annual Performance Bonus ⌛️ 5 Working Days with Flexible Working Hours 🌎 Annual trips & Team outings 🚑 Medical Insurance for self & family 🚩 Training & skill development programs 🤘🏼 Work with the Global team, Make the most of the diverse knowledge 🍕 Several discussions over Multiple Pizza Parties
A lot more! Come and discover us!
📌Designing and managing scalable data pipelines and ETL processes across cloud platforms such as Snowflake, Databricks, Azure Synapse, Redshift, and BigQuery.📌Leading the development and deployment of advanced data models and optimizing data storage, retrieval, and processing techniques for downstream systems.📌Overseeing the end-to-end development of secure and performant data integration solutions, ensuring compliance with data governance and best practices.📌Architecting and implementing event-driven and streaming data frameworks to process and store real-time data.📌Collaborating closely with architects, senior engineers, and other project stakeholders to deliver seamless integration of additional components (e.g., APIs, search, and visualization tools). 📌 Evaluating and implementing Proof of Concepts (PoCs) for new data integration technologies, assessing their performance and suitability against business requirements. 📌 Actively contributing to Agile/DevOps processes, participating in sprint planning, code reviews, and continuous improvement initiatives. 📌 Mentoring junior data engineers and leading by example through technical leadership and hands-on support of critical projects
What are we Looking for?
✔ Strong problem-solving skills and the ability to resolve complex data engineering issues with minimal supervision. ✔ A leader in data engineering practices, with a focus on scalability, security, and automation. ✔ Collaborative and skilled in working in a team environment, particularly in Agile settings. ✔ A quick learner and an innovator, capable of evaluating emerging technologies and adapting them to meet project needs. ✔ Passionate about data engineering and eager to mentor junior engineers while driving high-impact projects.
Required Skills
✔ AWS, Azure, GCP (Expertise in at least one) ✔ Apache Kafka, ELK, Grafana ✔ Snowflake, Databricks, Redshift, Azure Synapse, BigQuery ✔ ETL & Pipelines ✔ Proficient in Python, PySpark, SQL ✔ Expertise in Blob, S3, Object Stores, MinIO ✔ Strong understanding of data modeling techniques ✔ Familiarity with cloud networking (VPC, Virtual Network) and IAM policies for secure data handling ✔ Hands-on experience with DevOps methodologies, automation frameworks, and Agile development practices ✔ Proven experience migrating data from on-premises systems to cloud data warehouses
What do we Offer? 💰 Competitive compensation 💰 Annual Performance Bonus ⌛️ 5 Working Days with Flexible Working Hours 🌎 Annual trips & Team outings 🚑 Medical Insurance for self & family 🚩 Training & skill development programs 🤘🏼 Work with the Global team, Make the most of the diverse knowledge 🍕 Several discussions over Multiple Pizza Parties
A lot more! Come and discover us!
