... 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 ...
... Skills Deep knowledge of statistics and mathematics, with experience designing rigorous analyses, testing assumptions and interpreting complex results. Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines. Strong ...
... 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 decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, REST API design, Pydantic models, Async programming, Modular ...
... managing technical aspects of API framework design and development - Understanding of overall production Incidents / RCA for any feature that is delivered. \ - Working knowledge on --Java , Spring boot , microservices , AWS design , KAFKA ,Kubernetes ECS3 , Workflows such as Camunda BPM Preferred Skills: Experience with microservices ...
... experience. - Experience building and operating distributed data systems. Preferred Skills: AWS technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM. Workflow orchestration tools such as Airflow and AWS Step Functions. Experience with NoSQL databases and data stores. Understanding of SDLC, CI/CD, code reviews, testing, ...
... configurations, and cost optimization strategies.- Proven ability to write complex, highly optimized SQL 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 ...
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 ...
... learning and automated agentic pipelines. Data Quality, Reliability & Observability Implement strict data validation, monitoring, and proactive alerting frameworks to ensure absolute consistency and accuracy across the network. Define and maintain strict access control, governance, and data privacy standard practices across ...
... production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows. ...
... 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 ...
... platforms - Experience working with feature stores, model registries, experiment tracking tools, and production 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 ...
... a Data Engineer to join our team and contribute to building and maintaining applications that power the Dun & Bradstreet Contact Pipeline. This role involves working closely with senior data engineers to optimize data ingestion processes, analyze performance bottlenecks, and implement improvements. You will also create ...
... 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 business questions into well-scoped data science problems, and define the approach, data requirements and success measures. Design and ...
... integrations, or service-oriented applications. - Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. - Working knowledge of software design principles, testing, debugging, performance optimization, and secure development. - Experience with SQL databases and Git-based ...
... 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 decision-making and innovation within our portfolio. Key skills - Python, FastAPI Framework, REST API design, Pydantic models, Async programming, Modular ...
... (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 ...
... 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 for high-volume batch and real-time workloads, including data ingestion, transformation, ...
... 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 for efficient data management and discovery. Construct automation, frameworks, and enhanced tools to streamline data engineering ...
... Development - Experience with Azure Cloud Services (ADF, ADLS, Azure Blob Storage, Key Vault, etc.) - Strong knowledge of Data Ingestion, Connectors & Integration Frameworks - Advanced SQL and Performance Tuning skills - Experience building and optimizing scalable data pipelines - Understanding of Data Architecture & Data Warehouse ...
... built and owned pipelines. - Your work has been drag-and-drop ETL tooling without engineering underneath it. - You are an application or backend developer whose data work has been incidental. - You have never worked with enterprise systems such as ERP, PLM or MES . Working at Algo8 - You will build capability that outlasts ...