298 big data developer jobs in Bangalore, India.

... development and expert-level SQL for complex data manipulation and analysis. - Data Engineering & Modeling: Strong hands-on experience with dbt (Data Build Tool) for data transformation and a solid understanding of Big Data frameworks. - Architecture Mastery: Fluency in general data architecture principles, including data modeling, ...

... 3 billion users globally, and this number continues to grow exponentially. With a workforce of 1800+ professionals, we specialize in Digital BSS Suites, CVM & Big Data Analytics, 5G, IoT, AI/ML, and Digital Financial Services, and are actively engaged in cloudification of our product https://jobeax.com/link/nMMwN9P1b90Uvvn3 ...

... tunings and optimizations , etc. Required qualifications to be successful in this role Must-Have Skills: Strong analytical and problem-solving skills. • ETL developer(IBM Datastage) • Additional Skills - Teradata . DB2 , SQL and Unix Good to Have: • Optional - SAS SIS • Excellent communication and collaboration abilities. ...

... fastest-growing spaces in software.- Our dev-loved platform has real ROI, strong momentum, and customers who care about doing things right.- At Endor Labs, we think big, start small, and learn fast.- We take ownership, move with purpose, and always start with the customer's success.- We debate with data, make the complex simple, ...

... real-time or near-real-time data availability. - Develop and implement data quality and validation processes to ensure the accuracy, completeness, and integrity of data. - Monitor and troubleshoot data pipelines, identifying and resolving data-related issues or bottlenecks to maintain high data availability and reliability. - ...

... early stage startups where design and engineering were not separate functions will also work.9. Mandatory (Exclusion 1) :- Must not position as Engineer / Developer / PM in their resume. This is a designer-first profile.10. Mandatory (Exclusion 2) :- Must not be from big corporates / MNCs (1000+ employees, e.g. Infosys, ...

... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...

Big Data

... data refresh as per required frequencies. SQL & Data Handling - Write and optimize SQL queries for data extraction, transformation, and validation - Perform data validation and quality checks to ensure accuracy and integrity - Collaborate with IT/data engineering teams for data availability and access Stakeholder Engagement ...

... right to request access to your personal data, to request that your personal data be rectified or erased, and to request that the processing of your personal data be restricted. If you have any concerns or questions about the way Headout handle your data, you can contact our Data Protection Officer for more information.

... predictive models (Python or R).- Clear communicator who thrives in an ambiguous, fast-moving https://jobeax.com/link/sc5nj3LfmPNutBEY to have Skills :- Consumer or SME credit risk / underwriting / collections analytics.- Python (pandas, scikit-learn) and cloud data warehouses (BigQuery, Snowflake, Redshift). (ref:hirist.tech)

... don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role: - Degree in Computer Science, Data Analytics, or a related field - 4+ years of experience in Data Analysis, Master Data Management, or Reporting - Strong expertise in data analysis, reporting, ...

... Own features throughout the complete lifecycle, from technical design and development through testing, deployment, and production support. - Design efficient database schemas and queries for relational databases such as MySQL and PostgreSQL . - Apply principles of loose coupling, service encapsulation, scalability, and ...

... responsibilities Mission Prepare, check, and validate the data required for testing, migration, and the deployment of SAP S/4HANA. Responsibilities . Create Golden Data and test datasets. . Check data quality and consistency. . Perform integration testing and support user acceptance testing. . Identify and track data issues. ...

We are looking for a strong Data Plane Engineer with deep Networking and/or Network Security expertise, comfortable operating in cloud-native environments. Core Requirements • Data Plane expertise • Networking or Network Security domain expertise Experience: 8-13 Years Role Overview Join the SD-WAN Networking & Security ...

... include: - The Medical Data Reviewer works in close collaboration with the Medical Lead and/or Clinical Research Scientist to set up and coordinate the medical data review process, assists with medical data review and manages medical queries. Specifically, the Medical Data Reviewer ensures that the data is comprehensive from ...

... CRAs, sites, etc. - Conduct in-stream data trend analysis in support of data quality and integrity (includes protocol compliance and targeted review of patient data) - Provide clinical data Project Management and viewed as an expert in data clinical/medical review and cleaning. - Ensure data quality focus to audit readiness ...

... in this role: - Degree in a relevant field (e.g., Data Management, Computer Science, Information Systems, or equivalent experience) - Basic understanding of Data Governance and Data Catalog principles (e.g., metadata, glossary, ownership) and data modeling - Basic knowledge or experience with the Collibra platform is a ...

About Euromonitor Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make ...

... ETL/ELT and data integration tools such as Talend, including data extraction, transformation, orchestration, and pipeline automation. - Understanding of Master Data Management (MDM), data governance, data lineage, metadata management, and data management best practices. - Experience with data profiling, cleansing, transformation, ...