... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...
... 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.- ...
... Shell Scripting. Strong analytical skills for data engineering tasks. Familiarity with tools likeApache Airflowfor data migration workflows. Experience with database systems such asOracle,MySQL, orDB2. Knowledge of legacy data migration from diverse sources. Previous experience with data migration to platforms like ServiceNow. ...
... ~ Manage budgets related to data sourcing, annotation operations, and vendor contracts. 8+ years of overall experience in GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing ...
... 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 ...
... prioritised to maximise business value while managing technical debt.- Mentoring & Development : - Coach and mentor more junior engineers to support their technical growth and professional development.- Support the Lead Data Engineer in identifying development opportunities and aligning work assignments to team members' ...
... 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 ...
Data Scientist with GenAI (5 - 8 Years) - BangaloreWe are looking for a highly skilled Data Scientist with Generative AI expertise to design, develop, and deploy AI-driven solutions that solve complex business challenges. The role involves working on Machine Learning models, Large Language Models (LLMs), Retrieval-Augmented ...
... Azure . Ensure data quality, governance, reliability, monitoring, and compliance. Partner with Data Scientists, Fraud Analysts, and Engineering teams to deliver data-driven solutions. 4+ years of experience in Data Engineering or Big Data Engineering. - 2+ years of experience building large-scale distributed data processing ...
... Cloud Data Migration Leadership : Lead cloud migration projects, developing scalable Spark pipelines. Implement Bronze, Silver, and gold tables for scalable data systems. Optimize Spark code to ensure efficient cloud migration. Data Modeling : Develop and maintain data models with strong governance practices. Data Cataloging ...
... 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 ...
... contributing to large-scale data projects on Google Cloud Platform. You will work closely with senior engineers and data analysts to build and maintain robust data pipelines, helping to turn raw data into actionable https://jobeax.com/link/d6zqLcygnqsI43u7 Responsibilities:- Develop, test, and maintain data pipelines and ...
... complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned with business needs. Working across departments, the Lead Data Scientist communicates findings to technical and non-technical stakeholders, influences technical decisions and helps colleagues develop their skills. The role ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
... 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, ...
... queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence ...
... 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 ...
... complex data schemas, structural bottlenecks, and analytical tradeoffs to both hardware engineers and business operations teams. Competitive Salary: Highly competitive base salary based on your experience and technical capabilities. Comprehensive Health Coverage: Company-sponsored healthcare plan for you and your dependents.