Role :Lead Engineer - Conversion/Migration Skills - Mandatory-SQL Server, ETL/Data Migration Skills - Good to have -SSIS, Azure Data Factory Work location: Kochi/Trivandrum Total Experience: 6-9 years Strong hands-on expertise in SQL Server (T-SQL) and relational database design, with solid experience in data migration ...
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. https://jobeax.com/link/6WcBICn0LM558SP0 ...
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... code reviews, and provide technical guidance.- Design, develop, and maintain enterprise applications using Java technologies.- Work across backend, frontend, database, API, and integration layers.- Build and support REST APIs and enterprise web applications.- Drive technical decisions, application modernization, performance ...
... business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed data processing systems.- Databricks and/or Azure Data Engineering certifications preferred.- ...
... behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented ...
... mapping, and change detection. - Ensure annotation accuracy, consistency, and adherence to defined quality standards (QA/QC frameworks) across all delivered datasets. - Define and continuously improve annotation guidelines, taxonomies, and labeling protocols in collaboration with Data Science and ML teams. - Stay current ...
... records, and quickly correct errors to maintain high data integrity. Use advanced Excel functions, databases, and AI tools to manage, format, and optimise large data sets and bulk document uploads/downloads. Partner directly with client stakeholders and internal teams to clarify requirements, resolve data or technical issues, ...
... well-documented code that others can understand and maintain All About You passionate about using data visualisations to tell stories 1–3 years experience in creating data visualisations proficient in R or Python proficient in using code to clean data, transform, and aggregate data familiar with version control concepts and tools ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...
... Registry Experience integrating data between legacy and modern platforms Strong SQL/Python skills and experience working with relational databases Understanding of data mapping, data quality, and common data models Strong stakeholder communication skills and ability to work across business and technical teams If you like wild ...
... https://jobeax.com/link/kJqNDgLAO0HwY2u0 :Bengaluru (Hybrid)Your Future Employer :A leading analytics and AI-driven organization enabling enterprises to leverage advanced data science, machine learning, and Generative AI solutions for business https://jobeax.com/link/YL6tw2G0ApPvLUe6 :- Develop, implement, and deploy Machine Learning ...
... and maintain scalable batch and real-time data pipelines for fraud analytics. Develop and optimize Spark-based data processing frameworks. Implement efficient data ingestion frameworks and integrate multiple data sources. Build and support Snowflake data warehouse and data lake solutions. Develop data models for reporting, ...
... are not just data geeks – we are a family of scientists, refiners, and artisans. Our mission is to bridge the gap between intelligence and action, translating data into valuable insights and strategies. We work with businesses to create state-of-the-art solutions that push the boundaries of data science. Incorporated in ...
... processes. - Experience translating business requirements into features, user stories, data requirements, and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization ...
... and data quality to ensure accuracy and availability.- Contribute to documentation and adhere to data engineering best practices.- Support the team in various data-related tasks and be eager to learn new technologies and https://jobeax.com/link/b4yK9UFTLnSjLxNr Qualifications:- Bachelor's degree in Computer Science, Information ...
... containers - Hands-on experience on Spring boot, Webservices, Microservices, SOAP and REST - Drive analysis of business requirements, functional requirements, and technical specification documents to design and develop technical solutions that meet business needs - Assess opportunities for application and process improvement and ...
... Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and data models. Develop highly available data ingestion and processing systems for large datasets. Collaborate with cross-functional teams to deliver data solutions. Ensure data quality, performance, reliability, ...
... Operations team, functional leads, project managers and all other stakeholders. With minimal guidance, support DM service delivery with comprehensive DM process and technical expertise in executing projects. Serve as the escalation point for unresolved data isuse with guidance, work with client data managers, vendors, internal team ...