7555 Data Quality Jobs

The Role: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Syniti ADM for SAP. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions to meet those requirements. Key Responsibilities: Design, build, and configure applications using Syniti ADM for SAP to meet business process and application requirements. Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements. Develop and maintain technical documentation related to application developme...

The Role: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Syniti ADM for SAP. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions to meet those requirements. Key Responsibilities: Design, build, and configure applications using Syniti ADM for SAP to meet business process and application requirements. Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements. Develop and maintain technical documentation related to application developme...

We re on a mission to change the future of clinical research. At Perceptive, we help the biopharmaceutical industry bring medical treatments to the market, faster. Our mission is to change the world but to do this, we need people like you. Apart from job satisfaction, we can offer you: HEALTH: - Medical plan for you and your dependents. - Personal Accident Insurance - Life Insurance - Critical illness cover WEALTH: - Salary structure and Flexi basket - Provident fund of 12% - Gratuity scheme YOURSELF: Internal growth and development programs trainings As a Senior Clinical Data Programmer, your core responsibility is to understand complex business requirements and identify strategic opportuni...

At Assembly, we help brands find the change to fuel business growth. We are an award-winning global brand performance agency, home to 1,600 talented people across 25 offices globally. We create unique data, technology and media solutions that enable faster and smarter problem solving and an inspired, collaborative workplace culture. At Assembly we embody three core values: Show Up - actively contribute to a space of personal and collective growth; Make Change - embrace obstacles as opportunities, taking intentional steps to drive positive change; and Win Well - approach success with integrity, responsibility, and a commitment to collaboration, understanding that the journey is as important a...

Overview Apply best practices for data quality & triaging ( with goal to reduce data downtimes) on existing and new pipelines for our business, customer and Data Science team Responsibilities Own data quality from existing data pipelines, development end-to-end quality framework spanning outages, freshness, accuracy Work with teams like product catalog on product classification, Suply Chain & MKT on data validations Work with the product team leveraging our core technology platforms, which include Direct Commerce, Supply Chain, Marketing Automation, Mobile, and Data. Collaborate to triage continusouly improving data quality, matching data across various downstream and upstream systems Enable...

As a Master Data Management (MDM) Informatica IDQ and MDM Technical Anchor, you will be instrumental in applying our MDM strategies, requirements, and policies, ensuring they align with the companys vision. You will actively support the solutioning, architectural design, and oversee the implementation of our MDM solutions built on Informatica platform technologies. This hands-on role will involve leading the design and development of the information architecture for a robust MDM platform, focusing on matching and consolidating critical data subject areas to support our strategic objectives. We are looking for candidates with: Mandatory proven experience with Informatica MDM 10.4 HF2 and Info...

Job_Description":" As a Cloud Sales Executive, youll be a pivotal contributor to our cloud-driven growth strategy. Youll drive lead generation and enablement for cloud servicesfocusing on contemporary technologies like multi\u2011cloud environments, AI/ML workloads, infrastructure automation, and cloud security, aligned with industry\u2011leading tools and frameworks. Requirements - Identify, research, and qualify prospects focused on cloud technologies (AWS, Azure, GCP) and emerging areas such as AI/ML infrastructure, multi\u2011cloud, and hybrid solutions. - Develop and drive targeted outbound campaigns using CRM (Salesforce, HubSpot, LinkedIn Sales Navigator) and email automation tools; e...

About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services,...

We are looking forward to hire Databricks Professionals in the following areas : Experience 12-15 Years JD for Databricks Architect: Design and implement scalable data architectures using Databricks and cloud-based platforms. Develop and maintain data models, databases, and ETL pipelines. Integrate legacy systems including MS Access into modern data platforms. Collaborate with software engineers to build data-driven applications using . NET technologies. Ensure data quality, governance, and security across all systems. Work closely with business stakeholders to understand data requirements and translate them into technical solutions. Optimize performance of data systems and troubleshoot issu...

9+ years of experience in Microsoft Azure Data Engineering for analytical projects. Proven expertise in designing, developing, and deploying high-volume, end-to-end ETL pipelines for complex models, including batch, and real-time data integration frameworks using Azure, Microsoft Fabric and Databricks. Extensive hands-on experience with Azure Data Factory, Databricks (with Unity Catalog), Azure Functions, Synapse Analytics, Data Lake, Delta Lake, and Azure SQL Database for managing and processing large-scale data integrations. Experience in Databricks cluster optimization and workflow management to ensure cost-effective and high-performance processing. Sound knowledge of data modelling, data...

4-5 years of IT experience in Analysis, Design, Development and unit testing of Data warehousing applications using industry accepted methodologies and procedures. Write complex SQL queries to implement ETL (Extract, Transform, Load) processes and for Business Intelligence reporting. Strong experience with Snowpipe execustion, snowflake Datawarehouse, deep understanding of snowflake architecture and Processing, Creating and managing automated data pipelines for both batch and streaming data using DBT. Designing and implementing data models and schemas to support data warehousing and analytics within Snowflake. Writing and optimizing SQL queries for efficient data retrieval and analysis. Deli...

Manage user setup, roles, profiles, security settings, and permissions. Configure and maintain custom objects, record types, fields, page layouts, workflows, process builders, and validation rules. Perform regular data management tasks including data import, export, deduplication, and cleaning. Ensure platform stability and performance with regular system maintenance. Salesforce Development: Design and implement custom solutions using Apex, Visualforce, Lightning Components (LWC and AURA), and SOQL. Develop and integrate APIs to connect Salesforce with other systems. Automate processes with Flow Builder, Process Builder, and custom code. Optimize Salesforce instance through custom developmen...

Develops a product strategy and product vision that delivers value to customers Leads product discovery and research to uncover customer solutions and integrate them into the product strategy Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition Builds the framework and tracks the products key success metrics such as cost, feature and functionality, risk posture, and reliability Required qualifications, capabilities, and skills 5+ years of experience or equivalent expertise in product management or a relevant domain area Advanced knowledge of the product development life cycle, design, and data analytics Proven...

As a Senior Data Management Professional on the Company Financials Industries team, you will oversee the data management and analysis of a portfolio of companies. Your work will involve building financial models, designing technical solutions, analyzing company data, defining key metrics, and researching alternative datasets to enhance Bloomberg s financial data products. Your insights will help ensure our products remain best-in-class and fit-for-purpose for our clients. Sectors Hiring: Consumer, Health Care, Energy, Real Estate, Technology, Financials, Industrials We ll Trust You To: Own the data coverage, quality, and curation of 15-20 companies across Bloomberg Terminal, financial models...

Position responsibilities and expectations Designing and buildinganalytical /DL/ ML algorithms using Python, R and other statistical tools Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc Ability to learn new scripting language or analytics platform Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications Strong understanding of deploying and optimizing AI application in production Strong knowledge of statistical and data mining techniques like Linear & L...

Minimum 3 years of experience developing scalable and distributed systems in core Java Strong analytical and problem-solving capability Excellent verbal and written communications skills Client facing skills: Solid experience working with clients directly, to be able to build trusted relationships with stakeholders Ability to collaborate effectively across global teams Strong understanding of data structures, algorithm, object-oriented design and design patterns Strong Understanding in SQL to retrieve/transform/analyze datasets Solid understanding and experience with agile software development lifecycle. Experience in the use of multi-dimensional data, data curation processes, and the measur...

SUMMARY Summary As a Data Modeler (Python) Professional, you will play a crucial role in designing and implementing effective data models that support business objectives. You will collaborate with various stakeholders to understand their data needs, analyze existing data structures, and ensure that data models are aligned with best practices and meet organizational requirements. This position requires a strong understanding of database management systems, data warehousing concepts, and data integration processes. Experience: 4+ years Location: Mumbai Must-have: The candidate should have 3 years of relevant experience in Data Modeling (Python). Responsibilities Engage with key business repre...

POSITION OVERVIEW We are seeking a highly skilled Python Data Engineer with a strong background in designing, developing, and maintaining scalable data solutions. The ideal candidate will have 5+ years of professional experience in Python and SQL, with proven expertise in building ETL/ELT pipelines, managing data streaming solutions. This role requires a hands-on engineer who can translate business requirements into reliable data systems, optimize performance, and ensure high data quality. ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in ...

Highly skilled Data Delivery Developer with expertise in SQL, Snowflake, and AWS infrastructure. The ideal candidate will have hands-on experience in complex data migration projects, particularly migrating from SSIS/SQL Server to Snowflake, and a strong understanding of cloud resource management on AWS. Define challenges of large and complex migration projects to best practices and have aptitude of high-level design thinking to build scalable solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Snowflake and AWS services. Write complex and optimized SQL queries for data extraction, transformation, and reporting. Automate data workflows and delivery proc...

About the role: As an Adobe Analytics, Senior Analyst , you will be involved in all aspects of maintaining our Adobe Analytics platform and providing related reporting and analysis. You ll play a critical role in empowering our teams with meaningful data insights that drive key business decisions. What you ll do Serve as the primary administrator for the Adobe Analytics platform, handling setup, configurations, user access, and system updates. Work to implement tracking tags, ensuring accurate data collection across digital properties. Conduct regular audits and validations to ensure data accuracy and integrity. Provide troubleshooting and resolutions to any data discrepancies or data qualit...

Administer, configure, and maintain Salesforce and integrated revenue tools (e.g., Marketo, Gong, Vidyard). Manage user roles, profiles, permissions, and security settings. Create, maintain, and optimize workflows, automation rules, and approval processes to support business operations. Develop and maintain dashboards, reports, and analytics for leadership and cross-functional teams. Partner with Sales, Marketing, and Customer Success to identify process improvements and translate business needs into system solutions. Ensure data quality, governance, and compliance across all systems. Manage inbound support tickets, triage requests, and prioritize resolution in a fast-paced environment. Comm...

Perform genome-wide association studies (GWAS) using large-scale genotypic and phenotypic datasets. Conduct Mendelian randomization analyses using the UK Biobank dataset and infer causal relationships between genetic variants, biomarkers, and disease outcomes. Develop, validate, and apply polygenic risk scores (PRS) for prediction of disease risk and stratification of individuals. Process and analyze microbiome whole metagenome sequencing data, including taxonomic profiling, diversity metrics, and functional pathway analysis. Implement rigorous data quality control, imputation, and statistical modeling pipelines. Collaborate with project coordinators, molecular biologists, nutrition scientis...

The Opportunity: Full Stack Data Engineer Were seeking a highly skilled and experienced Full Stack Data Engineer to play a pivotal role in the development and maintenance of our Enterprise Data Platform. In this role, youll be responsible for designing, building, and optimizing scalable data pipelines within our Google Cloud Platform (GCP) environment. Youll work with GCP Native technologies like BigQuery, Dataflow, and Pub/Sub, ensuring data governance, security, and optimal performance. This is a fantastic opportunity to leverage your full-stack expertise, collaborate with talented teams, and establish best practices for data engineering at Ford. What Youll Bring: (Qualifications) Bachelor...

We are currently seeking an experienced professional to join our team in the role of Senior Software Engineer. In this role, you will: Design and Develop Scalable Data Pipelines: Architect and implement end-to-end data workflows using Apache Airflow for orchestration, integrating multiple data sources and sinks across cloud and on-prem environments. BigQuery Data Modeling and Optimization: Build and optimize data models in Google BigQuery for performance and cost-efficiency, including partitioning, clustering, and materialized views to support analytics and reporting use cases. ETL/ELT Development and Maintenance: Design robust ETL/ELT pipelines to extract, transform, and load structured and...

About the Role: We are looking for an experienced AWS Databricks Engineer to join our data engineering team. The ideal candidate will have hands-on experience designing, developing, and maintaining scalable data pipelines using Databricks on AWS cloud infrastructure. Key Responsibilities: Design, develop, and optimize scalable data pipelines and workflows using Databricks and Apache Spark on AWS. Collaborate with data scientists, analysts, and other stakeholders to transform data into actionable insights. Implement data ingestion processes from various sources including S3, RDS, Redshift, and external APIs. Optimize Spark jobs for performance and cost efficiency. Monitor and troubleshoot dat...