... focus on Java, Microservices and Kafka Java Microservices Back end Developer Java Sprint boot Microservices with expected knowledge of Kafka, Basic knowledge of Database. Experience with TDD and BDD. Must have experience with one of cloud (GCP, AWS or Azure). Also experience with Kubernetes and containers - Hands-on experience ...
... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
... two shifts. Manage end-to-end delivery of data management services for single/multi-service projects with minimal guidance, ensuring quality deliverables on time and within budget, to customer satisfaction. Provide comprehensive data management expertise to Clinical Data Management (CDM) team to provide high quality data ...
... and convenience in a seamless digital experience. Collaboration with Data Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement Work jointly on data architecture decisions ...
... testing, and maintaining architectures such as databases and large-scale processing systems, ensuring that architectures support data analytics, and preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management ...
... cellular connectivity in emerging markets. High-Performance Pipeline Development Develop, test, and optimize batch and stream-processing pipelines to handle real-time IoT telematics, state-of-charge tracking, and transactional business data. Build efficient ingestion mechanisms from internal systems, IoT hardware modules, APIs, ...
... affordable healthcare. Build and manage digital analytics datasets and reporting solutions Develop data pipelines and analytical reporting frameworks Support data validation, UAT, process improvements, and analytics initiatives. Experience & Qualification: Python Power BI & Dashboard Development Data Modeling & Data Validation ...
Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... data and the decision they support. Quality-check the team's work and guide models to production through cross-team collaboration. Lead project delivery across timelines, scope and team allocation, often across parallel engagements. Mentor and manage a team of data scientists, and keep yourself and the team current with advancements ...
... Experience with hosted environments and cloud platforms such as AWS, Azure, or similar (preferred). - Ability to work independently and deliver critical projects on time. - Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform. We may use artificial ...
... lifecycle. Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
Job Title: Associate - Data Engineer Job Type: Full-time Experience Level: 1 - 4 Years Location: Airoli - Navi Mumbai About the Role: We are looking for an enthusiastic and detail-oriented Associate Data Engineer to join our growing data team. If you are a recent graduate passionate about data and eager to build a career ...
... Experience: 3+ yrs Location: Mumbai, Maharashtra, India Job Type: Full-time We are looking for an experienced Data Engineer to design, develop, and maintain scalable data platforms and pipelines using AWS, Apache Spark, Python, SQL, Kafka, and modern data engineering frameworks . The role will focus on building reliable data solutions ...
... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...
... Discovery is part of the job — expect to map what is actually there before you design against it. Who This Role Is Not For We would rather be direct than waste your time. This role is probably not a fit if: - Your data engineering experience is entirely on managed cloud services and you have never sized, deployed or operated infrastructure ...
... quality throughout the study lifecycle. - Collaborate closely with cross-functional teams, including clinical operations and biostatistics, to develop and execute data management strategies tailored to specific studies. - Perform other project activities as required in order to ensure that study timelines are met (for example, ...