The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...
... platform ecosystem including Workbench, Connect, and integration patterns with R and Python environments Proficient in distributed computing technologies and big data analytics, including hands-on expertise with Python, Spark, SQL, and data transformation pipelines Strong understanding of MLOps/ModelOps principles, practices, ...
... 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. ...
... degree in Analytics, Computer Science, Marketing, Business, or a related field. Preferred Skills: - Experience with Heap, Amplitude, Mixpanel, or other product analytics platforms. - Experience analyzing backend/product event data and customer lifecycle metrics. - Experience with cloud data warehouses such as BigQuery, Snowflake, ...
... data governance from Day 1, integrating open-source catalogs (Apache Polaris, Glue) with column-level security, PII discovery, and automated audit trails. • Data Quality Frameworks: Design multi-layer, config-driven data quality gates that execute inline in-memory and trigger automated pipeline halts before bad data propagates. ...
... Engineering Team Partner closely with our Data Engineering team to ensure efficient data collection, storage, and processing Collaborate in designing and optimizing data pipelines for seamless data movement Work jointly on data architecture decisions to enhance analytics capabilities Performance Tuning and Query Optimization Identify ...
... opportunities. This role is ideal for entry-level candidates with strong analytical skills, curiosity, and an interest in data-driven problem-solving. Full Description Data Eminence is seeking a motivated Data Analyst to join our growing analytics team. In this role, you will work with structured and unstructured data to generate ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... delivery, automation, testing, data quality, governance, security, and cost-efficient cloud resource management. Data Platform Optimization: Continuously improve data flows, pipelines, and platform capabilities to support business analytics, personalization, and advanced data products while maintaining reliability and scalability. ...
... Point - Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality - Basic data handling and Data interpretation skills - Should be comfortable with 24x7 rotational shifts - Ability to pull data from numerous databases (using Excel and other data management ...
Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical ...
... readiness in a medical device environment. Guide SAP functional teams, data migration teams, integration teams, analytics teams, and business data stewards on master data standards, data models, dependencies, interfaces, and quality controls. Drive integration and enterprise data alignment: Ensure master data is consistently integrated ...
... Lambda . Write and optimize complex SQL queries for data transformation, reporting, reconciliation, and analysis. Work with data from APIs, SaaS applications, databases, flat files, and other enterprise sources. Design data models and structures to support reporting and analytics requirements. Implement data quality checks, ...
... partners. in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Data Science) or equivalent practical experience. - Experience: 2–4 years of Data Science experience, ideally including 3+ years focused on Credit Risk, Fraud Analytics, Lending, or Fintech. - Production-grade fluency in Python and advanced, ...
... datasets. Work with PostgreSQL databases for structured data management and optimization. Develop APIs and backend services using FastAPI. Integrate multiple data sources and ensure data consistency and quality. Collaborate with cross-functional teams for analytics, reporting, and business intelligence solutions. Optimize ...
... you like to innovate and simplify If yes, then you may be a great fit to join the Machine Learning team for International Consumer Businesses. Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ...
... CloudFormation to manage your own data infrastructure. - In-Process Analytics (DuckDB): Proven experience using DuckDB for high-speed local development, unit testing data transformations, or as a query engine for 'small-to-medium' datasets (up to 100GB) without the overhead of a distributed cluster. - Hybrid Execution Patterns: ...
... subject matter expert in SQL and database performance. What You Will Do As A Data Warehouse Engineer Build and monitor robust ETL/ELT pipelines using BigQuery, Dataflow, and Cloud Composer. Expert SQL Execution: Develop high-performance SQL scripts for complex data transformations, ensuring accuracy across multiple datasets. ...
... systems is a plus.- Highly motivated, results-oriented and a fast learner with excellent analytical and problem solving skills.- Previous experience in BI, analytics, data management or data engineering is a plus.- Understanding of data flows and basics of data modelling principles.- Fluent in written and spoken English. ...
... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...