... delivery is achieved through successive releases of features associated with the data scopes and uses prioritized with the different client business lines The Data Engineer works closely with the entire squad and especially the Product Owner, the Solution Architect, the Tech Lead and the business analysts The candidate will ...
... CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes come first, and why - Own the data quality feedback loop — define how we catch bad data before customers see it, and drive the process ...
... & Remote Operations YOUR TASKS: Build and maintain data pipelines to transform, process and ingest wind measurement and master data from multiple sources and data formats to drive analytical insights. Develop and optimize data models and schemas for storage and retrieval of structured andunstructured data Perform analysis ...
... Purpose/ Summary We are looking for a skilled Data Engineer with 1-2 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Databricks, and Azure Data Factory (ADF. and hands-on experience working with large datasets ...
... Preparation Product Area, focused on building the next generation of finance data and processing services The team builds on a lakehouse architecture using Azure Databricks, Azure Data Factory and Azure Data Lake (Delta Lake) with Python being the main programming language and PySpark is used for large scale data engineering. ...
Job title Director, Data Engineering & Analytics Overview Oliver Wyman Technology is seeking an experienced, handson Director of Data Engineering & Analytics to lead and scale our enterprise data platform and analytics capability. This role combines strategic ownership with technical leadership: you will grow and mentor ...
... - Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. ...
Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...
... Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive ...
Qualifications for Data Engineer: - 3+ Years of experience in building and optimizing big data solutions required to fulfill business and technology requirements. - 3+ years of technical expertise in areas of design and implementation using big data technology Hadoop, Hive, Spark, Python/Java. - Strong analytic skills to ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... vector-based data pipelines for AI and GenAI use cases Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets Build data preprocessing, validation, and quality-assurance ...
... pipelines, and developer tooling entirely on-premise. You'll build the core data infrastructure, tools, and internal products that enable hundreds of engineers, analysts, data scientists, and business teams to move faster. What You'll Do: Own product strategy, specs, and roadmaps for data platform components, APIs, and developer ...
... required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS 'big data' technologies. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
... Experience building solutions and working in Agile environments (e.g., Scrum, Kanban). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that ...
... frameworks using Scala and Spark Develop and optimize Hive queries and SQL scripts for large datasets Work with distributed storage systems like HDFS Perform data ingestion, transformation, and processing (ETL/ELT) Optimize performance of Spark jobs and Hadoop workloads Collaborate with data engineers, analysts, and business ...
... development. As a Clinical Data Science Programmer at ICON, you will develop and implement programming solutions that enhance the analysis of clinical trial data. What You Will Do: You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency. Key responsibilities ...
... Visualization : - Support and maintain Tableau and Power BI platforms that cater to business intelligence needs. - Utilize Alteryx for ETL processes and to streamline data preparation, ensuring data consistency. - Data Mining and Advanced Analytics : - Leverage Splunk for advanced log analysis and operational insights, optimizing ...