... using Python and PySpark to ingest data from files, APIs, RDBMS, NoSQL, and message queues into AWS data stores Develop and optimize PySpark jobs for large-scale data processing, transformation, and aggregation on AWS EMR or Databricks Build and manage AWS-native data workflows using S3, Glue, Lambda, Redshift, and Step Functions; ...
Position: Data Scientist Experience: 3 – 4 Years We are looking for a Data Scientist to help us see those patterns earlier: which investors need a nudge, which portfolios are drifting off-plan, and which programs are actually moving the needle. Investment and portfolio analytics- build models that surface portfolio drift, ...
... data science solutions. Our program spans fintech product development, digital transformation, process automation with machine learning, business intelligence, data governance, and generative AI. You will work alongside an advanced data science and engineering team — and collaborate with professionals from the world's largest ...
... Python packages for serverless applications. - Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration ...
... https://jobeax.com/link/YG6VptVu4UkNxzCB Omni-Channel Marketing Platforms for B2C Enterprises 2023. As part of the Data Science/Engineering team at MoEngage, here are some things you can expect: Work with A players (some of the best talents in the country), and expedite your learning curve and career growth Explore the latest in topics like Data Pipeline, ...
... building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different enterprise data sources. This is a hands-on role, ...
... platforms like Azure. - Experience in data pipelines and ETL/ELT tools, including AWS Glue/Azure Data Factory/ Synapse/Matillion/DBT - Experience in implementing or working with data governance frameworks and practices to ensure data integrity and regulatory compliance. - Knowledge of data quality tools and practices. - Data visualization ...
... 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.
... Python packages for serverless applications. - Hands-on experience with AWS services including Lambda, EC2, EMR, S3, Athena, Batch, Textract, and Comprehend. - Work seamlessly across Data Science, Engineering, Product, DevOps, and Data Engineering teams to align technical decisions with business goals, ensuring smooth integration ...
... operationalizing an enterprise data governance framework.- Proficiency in Microsoft Purview (accounts, collections, RBAC, classification/labelling, DLP, Unified Catalog, Data Map, eDiscovery, Compliance Manager, and lifecycle/records management).- Strong in metadata management, lineage mapping (ADF, Synapse, Power BI), data classification, ...
... models and deploying them to production environments using Python - Proficiency with modern ML frameworks (scikit-learn, XGBoost/CatBoost, TensorFlow/PyTorch) and data manipulation libraries (pandas, polars, numpy) - Hands-on experience with cloud platforms such as Azure and/or Databricks for deploying and managing ML models ...
... store. You will be responsible for designing scalable data models, optimizing query performance, and ensuring the platform remains reliable and cost-efficient as data volumes and workloads https://jobeax.com/link/6P8s6hBOPJeiA62U will work closely with data scientists, analysts, product engineers, and other engineering teams ...
... 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 ...
... with requirements gathering and stakeholder interviews.- Strong analytical and problem-solving https://jobeax.com/link/D1cYk5JWAvbfErTV Stack/Understanding :- Data Catalogs- Metadata Management- Data Quality- Data Governance Frameworks- Advanced Excel, PowerPoint, and reporting https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications ...
... focus on Generative AI https://jobeax.com/link/yEDVIXaeb96i6mjc : - Develop, implement and deploy ML & GenAI use cases.- Work hands-on with large volumes of data, including extraction, cleaning and analysis.- Work on Prompting, RAG, Agents and LLMs.- Leverage AI cloud services including AWS, Azure and GCP.- Work on NLP, ...
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 ...
... of experience in data analytics or a related field Strong hands-on experience with: SQL Python Power BI and/or Tableau Solid understanding of data modeling, data cleaning, and transformation techniques Experience working with structured and unstructured datasets Familiarity with statistical analysis and data visualization ...
... 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, ...
... 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 ...