35 Data Observability Jobs - Page 2

As a Senior Data Engineer at our company, you will play a crucial role in designing and implementing scalable data pipelines, productionizing ML workflows, and ensuring system observability. This hands-on role requires strong expertise in Databricks, Spark, AWS, and MLOps. You will work on high-impact projects in a hybrid work environment across multiple locations in India. **Key Responsibilities:** - Build and optimize data pipelines using Databricks and Spark. - Implement MLOps best practices including CI/CD, MLflow/SageMaker, monitoring, and retraining. - Develop and manage cloud-native solutions on AWS. - Design and monitor KPIs for data systems. - Apply data observability practices to e...

You are interested in a challenging opportunity with Wayfair, one of Uplers" clients, based in Bengaluru, India. Wayfair is a leading e-commerce company running a large logistics network in the United States. They are looking for individuals to join their Data Services & Data Enablement team who are passionate about scaling, supporting, and engineering database, analytic, and streaming infrastructure. **Role Overview:** You will play a crucial role in developing and implementing a multi-year technology strategy for a complex platform. As a key member of the team, you will lead multiple software development teams, architecting solutions at scale, and overseeing all aspects of the software dev...

As a Senior Data Engineer at our company, you will be responsible for designing and implementing scalable data pipelines, productionizing ML workflows, and ensuring system observability. This is a hands-on role that requires expertise in Databricks, Spark, AWS, and MLOps. Your coding skills and execution focus will be crucial in contributing from day one. **Key Responsibilities:** - Build and optimize data pipelines using Databricks and Spark. - Implement MLOps best practices such as CI/CD, MLflow/SageMaker, monitoring, and retraining. - Develop and manage cloud-native solutions on AWS. - Design and monitor KPIs for data systems. - Apply data observability practices to ensure reliability and...

Role Overview: As the MLOps Engineering Director at Horizontal Data Science Enablement Team within SSO Data Science, you will play a crucial role in managing the Databricks platform for the entire organization and leading best practices in MLOps. Your responsibilities will include overseeing the administration, configuration, and maintenance of Databricks clusters and workspaces. You will continuously monitor the clusters for high workloads or excessive usage costs, ensuring the overall health of the clusters and addressing any issues promptly. Implementing and managing security protocols to safeguard sensitive information and facilitating the integration of various data sources into Databri...

As the Data Architect at our company, you will have a pivotal role in shaping end-to-end digital and data architecture, driving modernization efforts, and enabling best-in-class customer and team member experiences. Your collaboration with our Digital, Technology, and cross-functional business teams, as well as global vendors, will be crucial in delivering scalable, integrated, and future-ready solutions. This role is suited for individuals who excel in complex, multi-market environments and have a strong background in MarTech, microservices architecture, and enterprise-level digital transformation within QSR, Retail, or customer-centric industries. Your key responsibilities will include lea...

As a Data Modeller/Data Modeler, you will play a crucial role in leading data architecture efforts across various enterprise domains such as Sales, Procurement, Finance, Logistics, R&D, and Advanced Planning Systems (SAP/Oracle). Your responsibilities will include designing scalable and reusable data models, constructing data lake foundations, and collaborating with cross-functional teams to deliver robust end-to-end data solutions. You will work closely with business and product teams to understand processes and translate them into technical specifications. Using methodologies such as Medallion Architecture, EDW, or Kimball, you will design logical and physical data models. It will be essen...

The role of a Site Reliability/Data Observability Engineer in the Data & Analytics organization involves developing and supporting frameworks and mechanisms to monitor data, data pipelines, usage, user operations, data infrastructure, and compute statistics. This proactive approach aims to ensure data accuracy, reliability, system scalability, health, and performance of Analytics platforms on GCP/AWS. Collaborating closely with the Cloud/Data Engineering team, the role emphasizes designing and implementing robust, scalable solutions. Working at Tyson Foods as a Site Reliability Engineer offers the opportunity to engage with cutting-edge technologies and collaborate with skilled professionals...

As a seasoned Manager - Data Engineering with 12-18 years of total experience in data engineering, including 3-5 years in a leadership/managerial role, you will lead complex data platform implementations using Databricks or the Apache data stack. Your key responsibilities will include leading high-impact data engineering engagements for global clients, delivering scalable solutions, and driving digital transformation. You must have hands-on experience in Databricks OR core Apache stack (Spark, Kafka, Hive, Airflow, NiFi, etc.) and expertise in one or more cloud platforms such as AWS, Azure, or GCP, ideally with Databricks on cloud. Strong programming skills in Python, Scala, and SQL are esse...

We are looking for an experienced Manager - Data Engineering with a strong background in Databricks or the Apache data stack to lead the implementation of complex data platforms. In this role, you will be responsible for overseeing impactful data engineering projects for global clients, delivering scalable solutions, and steering digital transformation initiatives. With 12-18 years of overall experience in data engineering, including 3-5 years in a leadership position, you will need hands-on expertise in either Databricks or the core Apache stack (Spark, Kafka, Hive, Airflow, NiFi, etc.). Proficiency in at least one cloud platform such as AWS, Azure, or GCP, ideally with Databricks on the cl...

Lead Data Engineer Experience: 7 - 10 Years Exp Salary : Upto INR 25 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : AWS Glue, Databricks, Azure - Data Factory, SQL, Python, Data Modelling, ETL Good to have skills : Big Data Pipelines, Data Warehousing Forbes Advisor (One of Uplers' Clients) is Looking for: Data Quality Analyst who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make...