15584 Data Quality Jobs - Page 6

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Apache Spark Good to have skills : Python (Programming Language), Google BigQuery, PySpark Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creat...

Keyword Search by Location Search by Postal Code Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: Senior Marketing Data Manager Remote, TX, US Position Summary: The Bentley Marketing Data Analytics team is seeking a Senior Marketing Data Manager to shape the how Bentley designs, governs, and reports marketing and sales pipeline data. This role will report to the Director, Marketing Systems and Analytics, and serves as a bridge between business stakeholders, marketing platform owners, and analytics teams to ensure that our marketing data model is strategically aligned with business objectives and technically capable of supporting advanced attribu...

What you ll own The digital marketing team at Worldpay, is a global team of curious, analytical, and innovative experts who are responsible for building, maintaining and leading all aspects of our Marketing Team s technology, digital campaigns, data, and lead/revenue growth Perform lead acquisition tasks to grow our prospect environment across multiple lines of business within Worldpay. Lead acquisition can stem from events, vendor data, landing page submissions, website submissions, paid media, and social media. Manage data in multiple CRMs to create a target audience for each marketing communication initiative adhering to data privacy preferences within each system. For each campaign, take...

Minimum 5 years of experience in IT Asset Management or Software Asset Management. At least 3 years of hands-on experience with ServiceNow, specifically SAM Pro and Certificate Management modules. Strong understanding of software licensing models (perpetual, subscription, SaaS). Experience with CMDB management and integrations with Intune, SCCM, and ServiceNow Discovery. Familiarity with ITIL processes and ITSM frameworks. Excellent analytical, documentation, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. ServiceNow Certified Implementation Specialist - Software Asset Management. Experience with scripting and automation in ServiceNow ...

You bring extensive experience in DBT, including designing and developing technical architecture, data pipelines, and performance scaling You have leveraged tools to integrate Talend data and ensure data quality in a big data environment Your PL/SQL skills are very strong, particularly with queries, procedures, and JOIN operations You have hands-on experience with Snowflake, including writing SQL queries, developing scripts in Unix and Python to perform extract, load, and transform (ELT) operations Familiarity with Fivetran and hands-on experience with it is a plus Candidates who have worked in production support environments are preferred Your background includes direct experience with Snow...

Role Summary The Treasury Business Analyst will support liquidity, cash management, funding, ALM, and treasury operations. The role requires deep functional expertise, strong product understanding, and the ability to work in an Agile delivery environment. Key Responsibilities Work with Treasury Operations, Liquidity, Funding, and ALM teams to capture requirements as user stories with acceptance criteria. Participate in backlog refinement, sprint planning, stand-ups, and sprint reviews . Analyse treasury workflows such as liquidity forecasting, cash positioning, interest management, and funding cycles. Produce workflow diagrams and target-state flows using Visio . Perform data validation, inv...

8+ years of experience in STIBO STEP ToolArchitect and Lead for the Stibo MDM track from the build and BAU perspective Should collaborate well with stakeholders and ensure the project goals are metCandidate should have hands-on experience on alteast one E2E STIBO project implementation experienceGood Technical knowledge on Core Java & XMLAbility to configure/develop STEP Solution components such as business rules, Workflows, Import, Exports, Web UIs, Endpoints, etc Strong experience in Data modeling and data migrationWorking experience in Data profiling/Data qualityExperience in Writing Detailed Technical specification - Good Documentation Skills Should have experience in Javascripting/Stibo...

Candidate needs to have exposure as a Developer, Support Engineer & Testing Candidate must have knowledge on either platforms like Informatica, Ab Initio, DataStage OR custom code using PythonDesign and execute test plans for ETL processes, ensuring data accuracy, completeness, and integrity Develop automated test scripts using Python or R for data validation and reconciliation Perform source-to-target data verification, transformation logic testing, and regression testing Collaborate with data engineers and analysts to understand business requirements and data flows Identify data anomalies and work with development teams to resolve issues Maintain test documentation, including test cases, t...

Responsibilities: o Design, develop, and implement AI/ML models and algorithms. o Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. o Write clean, efficient, and well-documented code. o Collaborate with data engineers to ensure data quality and availability for model training and evaluation. o Work closely with senior team members to understand project requirements and contribute to technical solutions. o Troubleshoot and debug AI/ML models and applications. o Stay up-to-date with the latest advancements in AI/ML. o Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. o Develo...

Data Pipeline DevelopmentDesign develop and maintain efficient reliable and reusable ETL ELT pipelines using DBT Snowflake and related technologiesData ModelingBuild and optimize data models star snowflake schemas to support analytical and reporting use cases ensuring data quality accuracy and performance Data IntegrationIntegrate data from multiple sources APIs databases SaaS platforms cloud storage into Snowflake using modern data ingestion tools and frameworksPerformance OptimizationTune SQL queries manage compute resources and optimize Snowflake performance for scalability and cost efficiencyData Governance Quality Implement data validation testing and monitoring processes to ensure high...

Perform ETL testing including data validation transformation checks and sourcetotarget mapping verificationWrite and execute complex SQL queries for data quality and integrity checksDevelop and maintain automation test scripts using Playwright Collaborate with development and data engineering teams to identify issues and ensure highquality releasesDocument test results and support defect resolutionStrong ETL testing background including data pipeline validation and data warehouse conceptsAdvanced proficiency in SQL Handson experience with Playwright for automationStrong analytical and problemsolving skillsExperience with AIML application testingExposure to cloudbased data platforms

P2-C2-TSTSETL Tester is responsible for validating the accuracy, completeness, and reliability of data as it moves through the Extract, Transform, Load (ETL) process They ensure that data integration workflows and pipelines meet business and technical requirements through rigorous testing and quality assurance practices ETL Testers play a critical role in maintaining data integrity in data warehousing, business intelligence, and analytics environments Analyze business requirements and data mapping documents to design test cases for ETL processes Develop and execute test plans, test cases, and test scripts for validating data extraction, transformation, and loading Perform source-to-target da...

Strong understanding of data governance principles and best practices in CollibraExperience with data integration tools and APIs for connecting Collibra with other systems Proficiency in user management role based access control and security best practicesStrong communication skills to effectively collaborate with stakeholders and promote platform adoptionTechnical skills in areas like Python for automation and basic server administration Technical expectations detailed Experience with data governance or data management tools such as BigID Collibra or similar platforms will be considered a strong asset The ideal candidate will have between 8 to 10 years of overall IT experience and hold a re...

About the Role We are looking for experienced data engineers who can independently build, optimize, and manage scalable data pipelines and platforms. In this role, youll work closely with clients and internal teams to deliver robust data solutions that power analytics, AI/ML, and operational systems. Youll also help mentor junior engineers and bring engineering discipline into our data engagements. Key Responsibilities Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases. Implement scalable data models, data warehouses/lakehouses, and data lakes to support analytics and decision-making. Collaborate with cross-functional stakeholders to un...

We are looking for a highly skilled Senior Data Engineer to join our team The ideal candidate will have hands-on experience working with large-scale data platforms and a strong background in Python, PySpark, AWS, and modern data warehousing tools such as Snowflake and DBT Familiarity with NoSQL databases like MongoDB and real-time streaming platforms like Kafka is essential Key Responsibilities: Design, build, and maintain scalable data pipelines using PySpark and Python Work with AWS cloud services (S3, Lambda, Glue, EMR, Redshift) for data ingestion, processing, and storage Implement and maintain ETL workflows using DBT and orchestration tools (e g , Airflow) Design and manage data models ...

Reporting to : Deputy Chief Sustainability Officer, this position is critical to the long-term success Orgs sustainability strategy and business growth. Key Responsibilities: Lead development of Orgs annual Scope 3 emissions inventory, including data collection, and other critical sustainability data for annual reporting. Drive continuous improvement aligned with globally recognized standards, including calculation methodologies, emission factors, and approaches. Implement process improvements and build data reporting templates and tools to increase productivity, standardization and improve accuracy Conduct benchmarking studies and develop presentation materials to facilitate strategic decis...

The Team: Screening and Platform Customization team provides expert services for our most sophisticated analytical tools so that we can provide clients with a tailored experience when using our products. This global seasoned team specializes in onboarding, support and client adoption of Screener product and other features and tools available on our Capital IQ and Capital IQ Pro platform. Comprised of former investment professionals, CFA charter holders, and MBA''s, team is charged with understanding our client needs and objectives and providing solutions to enhance their workflows. Screening and Platform specialists are tasked with consulting clients on how to reap the maximum benefit of usi...

Data Engineer to build and manage data pipelines that support batch and streaming data solutions The role requires expertise in creating seamless data flows across platforms like Data Lake/Lakehouse in Cloudera, Azure Databricks, Kafka for both batch and stream data pipelines etc Responsibilities Strong experience in develop, test, and maintain data pipelines (batch & stream) using Cloudera, Spark, Kafka and Azure services like ADF, Cosmos DB, Databricks, NoSQL DB/ Mongo DB etc Strong programming skills in spark, python or scala & SQL Optimize data pipelines to improve speed, performance, and reliability, ensuring that data is available for data consumers as required Create ETL pipelines for...

Role Summary : We are seeking skilled Data Analysts to support Informatica MDM production operations, including data ingestion from Databricks, stewardship console support, and downstream data consumption The role involves monitoring, troubleshooting, and collaborating with business and engineering teams to ensure data quality and operational continuity Key Responsibilities 1. Data Ingestion Support (Databricks Informatica MDM):Monitor Databricks pipeline completion and validate output readiness Ensure successful ingestion via Secure Agent; troubleshoot failures Reprocess failed loads and resolve schema mismatches Collaborate with engineering teams for RCA and pipeline optimization 2. Data S...

Design, develop, and maintain data pipelines and ETL processes using AWS and Snowflake Implement data transformation workflows using DBT (Data Build Tool) Write efficient, reusable, and reliable code in Python Optimize and tune data solutions for performance and scalability Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions Ensure data quality and integrity through rigorous testing and validation Stay updated with the latest industry trends and technologies in data engineering Bachelor''s or Master''s degree in Computer Science, Engineering, or a related field Proven experience as a Data Engineer or similar role Strong pro...

The Opportunity. We are seeking a Cloud Data Engineer with a strong technology background and hands-on experience working in an enterprise environment, designing, and implementing data warehouses, data lakes, and data marts for large financial institutions. In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS). In this role you will work with technology and business leads to build or enhance critical enterprise applications both on-prem and in the cloud (AWS) along with Modern Data Stack containing Snowflake Data Platform and Starburst Data Virtualization tool for Semantic Layer Build out. Succes...

Position Title: Business Analyst II Department : Product Title of Supervisor: Manager Product Management PURPOSE AND SCOPE: The Business Analyst provides health operations and business systems expertise during the receipt, review and delivery of client requests and internal projects related to data integrations, reporting and analytics for the claims administration solution. PRINCIPAL RESPONSIBILITIES AND DUTIES: Manage resolution of incoming client tickets, including gathering information, recreation of issues, resolution of the issue and co-ordination with developers Analyze incoming projects, client and strategic, requests and gather business requirements Ensure appropriate communication ...

A. Position Purpose: Technology Governance is as integral a part of the Technology team as are the Business facing, Infrastructure and the Development teams. Technology Governance is responsible for driving the compliance to the various internal processes and policies within the Technology team to ensure compliance and effective governance for the smooth execution of the Technology team. As a manager in Technology Governance team, the main role will be to establish and track against Data governance related activities. Key Responsibilities Support the implementation and maintenance of data governance policies, procedures, and standards specific to the banking industry. Hands-on experience in ...

Key Responsibilities: Assist in building and maintaining data pipelines and ETL processes. Support data ingestion, transformation, and loading into data warehouses. Work with senior engineers to ensure data quality and integrity. Perform basic data analysis and troubleshooting. Document processes and contribute to improving workflows. Required Skills: Programming: Basic proficiency in Python for scripting and data manipulation. Database: Good understanding of SQL for querying and simple optimization. Cloud Platforms: Familiarity with AWS or Azure services (e.g., S3, Data Factory). Big Data Tools: Exposure to Databricks or willingness to learn. Strong understanding of data structures and basi...

Key Responsibilities Design and implement data models, pipelines, and semantic layers in SAP Datasphere. Build and manage replication flows for delivering data to hyperscalers (Azure, AWS, GCP). Integrate SAP S/4HANA, BW/4HANA, and non-SAP data sources. Develop and optimize CDS Views for data extraction and modeling. Build optimized SQL-based transformations and virtual tables. Ensure data quality, governance, and security best practices. Collaborate with BI teams to enable SAP Analytics Cloud reporting. Required Skills 5-7 years in SAP Datasphere (total 5+ years in data/BI projects). Expertise in CDS Views, SAP Analytics Cloud, and strong SQL skills . Strong ETL/ELT and data modeling expert...