... Computer Science, Information Systems, Data Analytics, or related field. Experience: Minimum 5 years in data analysis, reporting, or business intelligence roles. Proficiency in Tableau, Power BI, or Grafana. Strong knowledge of SQL, data modeling, and relational databases. Familiarity with ETL processes and data pipelines.
... key responsibilities: - Providing Application Database and Replication support for a large DB2 z/OS sysplex environment - Providing Application Database and Data Migration support for an established cloud-based database infrastructure - SQL tuning and Performance on both Db2 and PostgreSQL - Maintenance of Databases – ...
Front face customer to understand data requirements and analyse data Build solutions and systems to manage data and analytics workload Improve reliability, quality, and time-to-market of our suite of software solutions. Responsibilities: Using SQL/Python to extract data from primary and secondary sources Performing analysis ...
Job Description:As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills:- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.- Expertise in SQL, Python, Py-Spark or Spark-SQL.- Expertise to ...
... develop, and maintain scalable data pipelines using Python and Apache Spark.- Implement efficient ETL/ELT processes for large-scale structured and unstructured datasets.- Develop and optimize complex SQL queries, data models, and transformations.- Ensure data quality, integrity, and reliability across the https://jobeax.com/link/KGEJVg5sFMkW48k2 ...
... skilled and experienced Senior Data Engineer to join our growing data team. In this role, you will lead the design and implementation of scalable, high-performance data pipelines using Snowflake, dbt, and Matillion Data Productivity Cloud, define architectural best practices, and drive data transformation at scale. You will work ...
... Cloud services, and report development skills. - Hands-on experience with Azure cloud services including Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Dataflow, Logic Apps, Azure Synapse Analytics, Function Apps, and Key Vaults for building and orchestrating data pipelines, serverless integrations, and secure secrets ...
Position Overview:We are looking for a Data Engineer with hands-on experience in Apache Airflow, Python, and Jupyter Notebook to build, orchestrate, and maintain robust data pipelines that power our analytics and business decisions. In this role, you will work closely with data teams to clean, transform, and move data reliably ...
... manage Amazon DynamoDB data models to ensure high performance, scalability, and reliability.- Ensure data quality, integrity, security, and consistency across data pipelines and storage solutions.- Collaborate with application developers, cloud engineers, data architects, and business stakeholders to deliver robust data ...
... in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees ...
... impact, not just visuals Proficient in Figma, prototyping tools, with understanding of frontend constraints Experience with design systems at scale, A/B testing, analytics tools Can articulate design decisions using qualitative and quantitative data Collaborate effectively with cross-functional teams (PM, engineering, research) ...
... Engage with clients to understand their business context.- Translate business problems and technical constraints into technical requirements for the desired analytics solution.- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision https://jobeax.com/link/ngm8RIB84YNl0Vgh ...
... hands-on, detail-oriented Senior Marketing Specialist to execute global marketing initiatives and campaigns. Reporting into the Marketing Lead and aligned with the Director of Marketing's strategy, this role is focused on delivering high-quality execution across content, campaigns, and digital https://jobeax.com/link/xN2Wix3DU1kEdKuU ...
... analysis.- Develop data engineering solutions using Python.- Optimize ETL processes for performance, scalability, and reliability.- Monitor and troubleshoot data pipelines and resolve data quality issues.- Implement best practices for data modeling, database design, and data governance.- Collaborate with data scientists, ...
... across clinical data landscape with deep functional process expertise. Deep understanding of digital protocol authoring, clinical operations technologies, metadata standards, AI-enabled capabilities, automation, interoperability frameworks, and enterprise data strategy. Expertise leading large-scale transformation initiatives, ...
HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...
... potential candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp're looking for an Art Director who can hold a big idea and the smallest kerning detail in the same head and who has already done it for international clients, in international rooms, in English, ...
... evidence collection, and continuous-monitoring cadence (partnering with the InfoSec Engineer on the technical controls). Data protection & DPO Act as the company's Data Protection Officer across GDPR (UK/EU) and India's DPDP Act, including registration obligations. Own RoPA, DPIAs, data-subject-request handling, breach response ...
Responsibilities : - Development and enhancement of Data Security Products (SASE)- Participate in a complete development life cycle starting with understanding various functional requirements, refine functional specification and develop for high throughput/ low latency requirements.- Influencing the features and direction ...