... Experience with data quality tooling (SODA, Collibra, or similar) Exposure to cloud platforms (Azure, AWS, or GCP) Experience in a regulated or enterprise-scale data environment Prior experience mentoring or leading a small pod of engineers EXPERIENCE - 8+ years in data engineering, with at least 4+ years focused on Snowflake ...
Job Title: Data Engineer - ML Training Data Pipeline Notice period: 0-30 Days Experience : 5+ Years Location: Hyderabad OR Pune We are looking for Data Engineer - ML Training Data Pipeline who can Build and maintain the data pipeline that transforms raw production traces into high-quality training datasets for LLM fine-tuning-ingestion, ...
... SQL, followed by expertise in data storage, modeling, cloud, data warehousing, and data lakes, ETL tools. The Data Engineer Lead will work closely with customer Data Architects, Data Scientists and BI Engineers to design and maintain scalable data models and pipelines. Data engineer lead will transfer requirements to the offshore ...
... architectures to ingest, process, and deliver high-quality data to business stakeholders. - Develops and optimizes batch-processing pipelines, ensuring collected data is structured and formatted for immediate, analytical consumption. - Adheres to and promotes data engineering standards and best practices within the immediate ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... in data security and privacy engineering, this individual deploys and tunes data discovery, classification, DLP, encryption, and key management controls. The Data Protection Engineer partners closely with Engineering, IT, Compliance, Legal, and Privacy stakeholders to embed privacy-by-design principles into how data is ...
About the Role:KPI Partners is seeking a skilled Azure Data Engineer with expertise in data engineering, cloud solutions, and experience with data pipeline development using Azure services. You will play a key role in designing and implementing scalable data solutions that drive insights and business decisions for our https://jobeax.com/link/OBSYxKmspgkYWOcn ...
... and results-driven Data Engineer to join our growing Data Engineering team. You will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making for our clients. This role is ideal for someone who thrives in a consulting environment, enjoys solving complex data challenges, ...
... Data Infrastructure & Integration Engineer, you will: - Configure, deploy, and maintain tools and infrastructure that enable the flow of CMS, SCADA, and other data into our cloud-based platforms, including Horizon CMS - Detect, track, and resolve data connectivity issues across the entire fleet of customer data system integrations ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence. We are seeking a Lead Data Engineer to join our Measurement team within ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... prescriptive/predictive analytics) to support current testing routines that seek to measure compliance to the various laws, regulations, and guidelines. Design, build, and execute data quality controls that ensure completeness and accuracy on risk datasets and reports. - Build and maintain strong stakeholder engagement: Establish and maintain ...
... analytics solution design with minimal guidance - typically components with clear input/output requirements such as predictive models, allocation schemes, or data transformation pipelines- Design, develop, prototype, and test analytics algorithms, writing clear specifications for implementation by engineering teams where ...