... 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, ...
... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...
Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...
... Experience implementing large-scale distributed systems in collaboration with more senior team members Knowledge and hands-on experience in technologies across all data lifecycle stages BS degree in computer science or related field or equivalent knowledge and experience No prior experience in the energy industry required Our ...
... modern modeling frameworks) to expose reliable datasets. Support both traditional analytical queries (BI dashboards in Grafana, Looker, or Kibana) and downstream machine learning and automated agentic pipelines. Data Quality, Reliability & Observability Implement strict data validation, monitoring, and proactive alerting frameworks ...
... 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 ...
... analytical, problem-solving, and stakeholder management https://jobeax.com/link/DkPro09N04CD2GIL is in it for you :- Opportunity to work on large-scale cloud data engineering projects.- Exposure to modern Azure and Databricks technologies.- Collaborative and innovation-driven work culture.- Excellent learning and career ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... 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 ...
... Data Catalog, DataHub, or Amundsen is a plus. - Familiarity with Docker, ECS, or EKS and containerised deployments is desirable. - Basic understanding of AI/ML data requirements and workflows is an advantage. - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline is ...
... 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 ...
... non-technical stakeholders why data is or is not ready, and that conversation matters as much as the pipeline. Useful, Not Essential - Manufacturing or industrial data experience - Kafka, Debezium or other change-data-capture tooling - Metadata catalogue and governance tooling - Experience defining acceptance criteria on a client ...
... others. Required qualifications and experience: - Bachelor's degree in a relevant field, such as Life Sciences or Healthcare. - Proven experience in clinical data management within the pharmaceutical or biotechnology industry. - Familiarity with data management software and systems (e.g., Medidata, Oracle RDC, or similar). ...
Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...
... protocols Candidate Qualifications - Education: Bachelor's degree in computer science or equivalent - Experience: 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI) - 2+ years of experience in cloud-based data platform development - Expertise in building Azure-based data pipelines, including: ...
... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...
Job Description – Senior Data Engineer / Platform Re-Engineering Lead (Azure Synapse & Databricks Migration) Role Overview We are looking for a highly experienced Senior Data Engineer to lead the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires deep technical seniority ...
Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...