... success. With a vision of being the most trusted, flexible, and easy-to-use data platform, our product portfolio includes the most performant data management, data integration, and data analytics products on the market. Customers use our cloud-native data platform to unify their data, explore and securely exchange data to ...
... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...
We are hiring for Senior Data Engineer (MS Fabric & Telecom) Work location: Bangalore, Karnataka, India Experince: 8 to 10 years Notice: Imdiate to 30 days only Role Overview As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of ...
Pro Arch is seeking a Senior Data Engineer with 3-5 years of experience to join our Data & Analytics practice. In this role, you will design and deliver scalable data solutions, optimize performance, and enable advanced analytics across cloud platforms. You will work with large-scale datasets, modern cloud-native technologies, ...
... age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure ...
... perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics - Full Stack Engineer-Manager EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services ...
... Skill Area - Cortex AI, Semantic Data, Snowpark & Modern Data Platforms The opportunity Build and operate enterprise-grade Data & AI platforms using Snowflake AI Data Cloud. The role focuses on Snowflake data engineering, reusable platform patterns, semantic data products, governed AI-ready datasets, APIs, enterprise service ...
... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... using Python. Strong proficiency in Python and object-orientated programming. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL. Experience with version control systems such as Git. Familiarity with Docker for containerisation. Experience with microservices ...
Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...
... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...
... accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Deliver impactful solutionsby executing highleverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementationof ...
Qualification : BE/B.Tech/M.Tech - Computer/IT Experience : 3 to 5 Years Roles & Responsibilities: - Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation - Experience working with and creating cloud data solutions - Assemble large, complex data sets that meet functional/non-functional ...
... is a GUI-driven tool that extends Excel capabilities to optimize outcome time, minimize user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, ...
... exchange data - Define and employ data modeling and design standards, tools, best practices, and related development methodologies - Design, review and maintain data models - Perform data analysis activities to capture data requirements and represent them in data model visualizations - Manage the life cycle of the data model ...
JOB SUMMARY Assists with the soliciting and managing of reservations sales-related opportunities. Manages and provides training and work assignments to Reservations Sales staff. Actively up-sells each business opportunity to maximize revenue opportunity. Achieves personal and team related revenue goals.
... for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, and batch systems. Data Modeling & Warehousing Design efficient data models to support analytics and AI workloads. Develop and optimize data warehouses/lakes using Redshift, BigQuery, Snowflake, or Delta Lake. Big Data & Streaming ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...
... with data owners and cross-functional teams to identify root causes of data issues and implement corrective actions. - Manage the onboarding and integration of data from various internal and external sources into the central data repository. - Partner with data owners and delegates to define and implement data quality (DQ) ...