Average salary: Rs890,586 /yearly
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- ...Partner Trust and Store Integrity (TSI), the Selling Partner Identity Verification (SPIV) focuses on understanding and verifying exactly who we are... ...priorities. Interacting with stakeholder teams to define data solutions and establish standard processes. Working with...Data
- ...litigation industries. Founded in 2019 by a team of lawyers and data scientists, Foundation AI processes millions of documents each month... ...out more at Job Overview: At Foundation AI, As a Data Verification Analyst, you will play a crucial role in ensuring accurate and...DataFull time
- ...change the world. We are looking for a highly motivated expert Data Engineer who can own the design & development of complex data pipelines... ...and monitoring Expert in data quality, data validation, and verification frameworks Innovate, explore, and implement new tools and...DataHybrid work
- ...'s change the world. We are looking for highly motivated expert Data Engineer who can own the design, development & maintenance of complex... ...and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and...DataHybrid work
- ...Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process... ...and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and...DataHybrid work
- ...Key Desirables : A minimum of 6+ years of experience in data modeling, data warehousing, and building ETL pipelines Strong experience in ETL platforms like Informatica ETL, Powercenter, IICS, or similar tools Deep knowledge of various big data technologies like BigQuery...Data
- ...Responsibilities: Lead the design, development, and deployment of Informatica ETL solutions. Collaborate with business analysts and data architects to translate data requirements into technical specifications. Optimize and troubleshoot complex Informatica workflows,...Data
- ...Expert Data Engineer Role Description Let's do this. Let's change the world. We are looking for a highly motivated Expert Data... ...monitoring. Expertise in data quality, data validation, and verification frameworks. Innovate, explore, and implement new tools and technologies...DataHybrid work
- ...The Data Entry Operator is responsible for accurately and efficiently entering data into various systems, ensuring data integrity and... ...level of data accuracy and integrity through careful input and verification. On-Time Data Updating: Adhere to strict deadlines for data...DataWork at office
- ...(L2) with strong hands-on experience in ETL development and production support. The role focuses on troubleshooting Informatica-based data pipelines, performing root cause analysis, and ensuring the stability and reliability of enterprise data platforms in a shift-based support...DataHybrid workShift work
- ...Responsibilities: Enter and update data in the system accurately Maintain data confidentiality and integrity Perform regular data verification and cleanup Follow instructions and complete tasks within deadlines Coordinate with the team remotely for task updates...DataRemote jobWork from home
- ...We are seeking a highly skilled OBIEE Consultant with extensive experience in OBIEE Reporting, RPD development, and related data integration tools. The ideal candidate will have a strong command of SQL, be proficient in Informatica and DAC, and bring a proven track record of...DataImmediate startRemote job
- ...teams analysis, preparation, development, testing and delivery of data into test and production systems. The senior data base... ...Produce documentation to support the entire life cycle of Basedata verification and delivery. Follow Cubic change control procedures when making...DataContract work
- Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills...Data
- ...support under Agile methodology. Develop and maintain ETL jobs using IBM Datastage. Work with Unix Shell scripts for automation and data processing. Schedule and monitor jobs using Autosys. Collaborate effectively in Agile team settings and communicate progress and...Data
- ...Key Deliverables: Build and maintain scalable ETL pipelines for structured and unstructured datasets Implement end-to-end data architecture including modeling, governance, and performance tuning Support web application backend with integrated data pipelines and real...Data
- ...We are seeking an experienced Data Architect to join our team and support our UAE-based client. Key Responsibilities: Design and implement scalable data architecture solutions. Collaborate with cross-functional teams for architectural integration and troubleshooting....DataFlexible hours
- ...Key Deliverables: Build and manage scalable ETL/ELT pipelines for large and complex datasets Design and implement data models and integration solutions across cloud platforms Ensure data governance, quality, and compliance through best practice frameworks Collaborate...Data
- ...experience in dealing with various types of sources such as Flat files/Mainframes/XML files and Databases. ~ Experience on AWS environment, Data Pipelines, RDS, Reporting tools. ~ Hands-on experience in Unix scripting/file operations. ~ Strong knowledge of SQL/PL-SQL and...DataPermanent employment
- ...We are seeking an experienced Data Architect to join our team, working with our UAE-based client. The ideal candidate should have 8-12 years of hands-on experience in data architecture, with at least 4 years in architectural design and integration. This role requires a...DataFlexible hours
- ...Design and maintain compliant ETL pipelines for regulatory submissions (eCTD, IDMP, xEVMPD) Integrate regulatory, clinical, and quality data ensuring traceability and GxP alignment Build reusable frameworks for metadata tagging, validation, and audit trails Enable Agile...Data
- ...Key Deliverables: Design and deploy scalable ETL/ELT pipelines for structured and unstructured data Implement real-time and batch data processing on Enterprise Data Fabric Optimize big data performance using Apache Spark and AWS stack Enable enterprise-wide data...Data
- ...Role Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes Collaborate with cross-functional teams to deliver data solutions meeting business needs Ensure data quality, security, and compliance throughout data lifecycle Implement...Data
- ...Proficiency in PySpark for distributed data processing and transformation. Solid experience with AWS Glue for ETL jobs and managing data workflows. Hands-on experience with AWS Data Pipeline (DPL) for workflow orchestration. Strong experience with AWS services...Data
- ...Greetings from Maneva! Job Description Job Title - Sr Data Engineer Experience - 10 - 15 Years Location - PAN India Notice - Immediate to 30 days Requirements:- dbt Data Modeling Dimensional Modeling Python Reverse ETL Data Pipelines...DataImmediate start
- ...Responsibilities - Professional GCP development experience between 5 - 8 years is preferred. Experience in GCP(PubSub,Big Query,Big data, DataProc, Pyspark), Hadoop Experience in working with CI/CD pipelines, source code repositories, and operating environments....Data
- ...Deliverables: Build and optimize scalable ETL/ELT pipelines for pharma manufacturing and supply chain Integrate structured and unstructured data across hybrid cloud platforms Ensure data integrity, validation, and governance for enterprise analytics Support AI and ML...DataHybrid work
- ...Roles & Responsibilities Design and implement scalable, modular, and future-proof data architectures supporting enterprise initiatives Develop enterprise-wide data frameworks for governed, secure, and accessible data across business domains Define data modeling strategies...Data
- ...Key Deliverables: Build and maintain scalable data pipelines for structured and unstructured data Implement ETL/ELT processes and integrate with GenAI systems Develop solutions using cloud platforms and big data technologies Collaborate with cross-functional teams...Data
- ...Role Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes Develop and ensure data quality across large datasets Collaborate with cross-functional teams to meet business data needs Implement data security and governance standards...Data
