... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...
... complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned with business needs. Working across departments, the Lead Data Scientist communicates findings to technical and non-technical stakeholders, influences technical decisions and helps colleagues develop their skills. The role ...
... 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 ...
... containers - Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST - Drive analysis of business requirements, functional requirements, and technical specification documents to design and develop technical solutions that meet business needs - Assess opportunities for application and process improvement and ...
... 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, ...
... queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence ...
... Operations team, functional leads, project managers and all other stakeholders. With minimal guidance, support DM service delivery with comprehensive DM process and technical expertise in executing projects. Serve as the escalation point for unresolved data isuse with guidance, work with client data managers, vendors, internal team ...
... complex data schemas, structural bottlenecks, and analytical tradeoffs to both hardware engineers and business operations teams. Competitive Salary: Highly competitive base salary based on your experience and technical capabilities. Comprehensive Health Coverage: Company-sponsored healthcare plan for you and your dependents.
... 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 ...
... guidance, review modeling approaches, and mentor other data scientists or ML engineers - Strong communication and collaboration skills, with the ability to explain technical trade-offs and model outcomes to both technical and non-technical stakeholders Experience leading complex ML initiatives involving multiple models, cross-functional ...
... 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 ...
... can own data science engagements end to end, from shaping the problem with the client to delivering and operationalizing ML solutions. You will lead a team of data scientists, guide technical decisions, and help grow ProcDNA's data science practice through client relationships and new capabilities. Work with clients to translate ...
... helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Design and build scalable backend services, REST APIs, integrations, ...
... 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 ...
... (Extract, Transform, Load) scripts to move data across various systems. Database Management: Write basic SQL queries, create tables, and interact with PostgreSQL databases to support data storage and retrieval. Data Orchestration: Help schedule, monitor, and troubleshoot automated data workflows using Apache Airflow. Stream ...
... MWAA, AWS Step Functions , or similar orchestration tools. Collaborate with Data Analysts and Data Scientists to deliver clean, structured, and analytics-ready datasets. Optimise data pipelines for performance, scalability, reliability, and AWS cost efficiency . Integrate data from multiple internal and external systems while ...
... 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 ...
... medical data, and contribute to the advancement of innovative treatments and therapies. What You Will Do: You will lead on clinical research tasks requiring technical depth, with a focus on quality and continuous improvement. Key responsibilities include: - Create and maintain detailed data management plans and documentation, ...