... Configure workflows policies and automation rules across both tools Generate dashboards reports and audit ready documentation Collaborate with Legal Security IT and Data Governance Technical Requirements: Hands on experience in OneTrust DSR DPIA RoPA and BigID configuration Strong understanding of data discovery classification ...
... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...
... Programming : Familiarity with Python or other programming languages for building custom data pipelines and automation. Data Governance & Security : Understanding of data governance principles, security best practices, and compliance requirements. Strong communication skills to collaborate with technical and non-technical teams. ...
Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...
... teams, including engineers and data scientists, to interpret and present findings. Develop and maintain documentation and reports related to FDR/CVR readouts and data analysis. Ensure compliance with industry standards and regulatory requirements in all data handling and analysis processes. Provide technical expertise and support ...
... intelligent conversational interfaces. Role Overview: Position: Generative AI Chatbot & Azure Open AI with LLM and RAG Experience Required: 5+ years in GEN AI (Data Science) Location: Gurgaon /Bangalore /Hyderabad /Pune Employment Type: Permanent Notice Period: Preferred Immediate joiners Key Responsibilities: Design and ...
... Define and execute the technical roadmap for the data platform, aligning with broader engineering and product strategy. Design and build scalable, fault-tolerant data pipelines and ETL/ELT frameworks that support batch and real-time data processing at enterprise scale. Architect and evolve the data lakehouse , data warehouse ...
... an experienced Java Tech Lead to lead the design, development, and delivery of scalable, high-performance applications. The ideal candidate will have strong technical expertise in Java technologies along with proven leadership experience in managing development teams and driving projects https://jobeax.com/link/x3qZMtxpeGP8bqBZ ...
... hiring managers to understand specific hiring needs and create job descriptions. Manage the recruitment process from job posting to offer acceptance. Maintain a database of potential candidates and track recruitment metrics. Skills and Qualifications - 1-3 years of experience in IT recruitment or related field. - Strong understanding ...
... with demonstrated expertise in enterprise data management and related technologies - 5-10 years of data architecture experience - Thorough knowledge of Erwin Data Modeler - Thorough knowledge of data warehousing concepts and the ability to create a dimensional design - Strong understanding of data modeling best practices ...
... On-Prem and Cloud Technologies - Must have exposure to complete MSBI stack including Power BI and deliver end to end BI solutions independently. - Must have technical expertise in creating data pipelines/ data integration strategy using SSIS/ ADF/ Synapse Pipeline Preferred Qualifications - Hands-on experience on DBT and ...
... observability.- Excellent client-facing, communication, consulting, and stakeholder management skills.- Ability to lead architecture discussions and communicate complex technical concepts to both technical and non-technical https://jobeax.com/link/jlPlUfitT65DxRA8 to Have : - Experience with Generative AI, LLMs, or AI-enabled application ...
... 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 ...
... incorporated into solution https://jobeax.com/link/zDsjnZiZjmXsdN83 & Database Architecture :- Define data architecture using PostgreSQL or MySQL.- Review complex data models and database designs.- Guide teams on query optimization and database performance.- Provide architectural guidance for large-scale reporting and data processing ...
... preparing financial reports and presentations, and contributing to sector and company research. The role involves supporting financial planning activities, ensuring data accuracy, and collaborating with senior analysts and cross-functional teams to deliver timely and insight-driven analytics. The Financial Analyst will also assist ...
... 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 jobs. Can explain technical solutions ...
... within Microsoft Fabric. Key skill: Microsoft Fabric Technical Expertise Microsoft Fabric: Expert-level knowledge of the Fabric ecosystem (Lakehouse, Eventhouse, DataFactory, and OneLake). Pipeline Development: Strong experience with Azure Data Factory or Fabric Pipelines, including complex orchestration and incremental loading ...
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, ...
... 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 data quality across all stages from ingestion to consumption. This opportunity requires strong technical skills in AWS data services, ...