... data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance issues. - Experience working with Git and CI/CD processes. - Good communication skills and experience working with technical and business ...
... (Exposure preferred). Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using ...
... Analytics, Lending, or Fintech. - Production-grade fluency in Python and advanced, highly analytical SQL. - Modern Stack Experience: Hands-on experience scaling data workflows over frameworks like Snowflake, Databricks, Spark, dbt, or similar platforms. - ROC-AUC curves, model drift scenarios) to non-technical stakeholders.
... with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts while having the ability to guide the team through evaluating, selecting, and implementing ...
... defining data quality KPIs/dashboards, remediation workflows, and business glossary/stewardship.- Strong knowledge of GDPR, CCPA, HIPAA, and SOX compliance requirements.- Ability to bridge technical governance with business and compliance goals.- Experience in B2B Tech/Consulting/B2B Software environments. (ref:hirist.tech)
... business operations, translating complex challenges into practical and scalable machine learning solutions. This role will contribute to the continued growth of our data science capabilities in Hyderabad by applying technical expertise, sharing knowledge with team members, and following established engineering and analytical best ...
... downstream impact.- Build reproducible, containerized environments using Docker and contribute to CI/CD and Infrastructure as Code practices.- Partner with analysts, data scientists, product managers, and product engineers to translate business and technical requirements into scalable data models and pipelines.- Continuously ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
India, Mumbai
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UNISON INTERNATIONAL CONSULTING (The Recruitment Company)
WE'RE HIRING | DATA ENTRY OPERATOR Work Mode: On-site | Full-time Experience: 0–5 Years Good typing speed with strong accuracy Proficiency in MS Excel, MS Word & Google Sheets Strong attention to detail and data accuracy Ability to manage and organize large volumes of data Basic computer and internet skills Familiarity ...
Senior Data Engineer – Graph Database & Data Intelligence Position: Senior Data Engineer Experience Required: 6+ Years Location: Remote Employment Type: Contract We are seeking a highly skilled Senior Data Engineer with expertise in Graph Databases, Data Modeling, and modern backend frameworks. The ideal candidate should ...
Job Title: Data Scientist Experience: 3–8 Years Work Mode: Hybrid Notice Period: Immediate Joiner Job Description We are looking for an experienced Data Scientist with strong expertise in advanced analytics and GenAI to support end-to-end data-driven solutions. The ideal candidate will work closely with cross-functional ...
... Java/Spring Boot services that acquire, normalize, and deliver telemetry and retention data from complex enterprise and third-party systems. It requires protocol and data-format troubleshooting across REST, Microsoft Graph, GraphQL, gRPC, JSON, XML, encoded/compressed payloads, and binary data, together with resilience patterns, ...
... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... our team, choose your own path and work on projects that excite you. The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving ...
... to enterprise platforms through secure, reusable and supportable integration patterns.- Architecture decisions improve reuse, reduce complexity and minimise technical debt.- Enterprise data remains secure, discoverable, governed and AI-ready.- Microsoft data and AI capabilities transition successfully from experimentation ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... and validating datasets, tables, listings, and figures (TLFs) according to study requirements. - Ensuring the accuracy, consistency, and integrity of clinical data through rigorous quality control and validation checks. - Mentoring and guiding junior programmers and providing technical leadership within the data science ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... workflows are the core qualifications. What You’ll Do - Design realistic data-entry and data-validation evaluation tasks for AI systems. - Build and curate complex datasets using formats such as CSV files, PDFs, spreadsheets, and technical documents. - Introduce realistic data-quality issues, including malformed records, missing ...