... techniques. Hands-on experience integrating and optimizing Starburst/Trino, including connecting Starburst from Lambda and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership ...
... dedicated to innovation and excellence in data https://jobeax.com/link/fc637Lq7iXaUjBEJ mission is to empower businesses through advanced data engineering and analytics, fostering a culture of collaboration and continuous https://jobeax.com/link/yeka7e9uOhXV2ngJ the Role :We are seeking a Senior Fabric Data Engineer who can ...
... aggregations, performance tuning, and analytics Handson experience handling largescale datasets in Redshift / Athena Strong Python programming skills (mandatory) for data engineering use cases PySpark / Sparkbased processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, ...
... using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - In-depth knowledge of performance optimization techniques for large-scale data processing, including code ...
Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...
... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...
... Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall experience of 0-2 yrs. in Advanced Analytics/ Business Intelligence/Data Warehousing Strong Background in Data Transformation ...
... stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centres and AWS regions. Create data tools for analytics and data scientist team members ...
Role OverviewWe are seeking a high-caliber Data Migration Consultant Developer with proven expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems ...
... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...
... collaboration tools like GIT, Jira, and Confluence.- Understanding of cloud platforms (AWS, Azure, or GCP).- Understanding of Commercial Pharma landscape and Patient Data/Analytics is a huge https://jobeax.com/link/fHKyZeByh8srlPka Thinking & Communication : - Analytical mindset with a systematic approach to problem-solving.- Ability ...
We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... elasticity, competitive dynamics, and business outcomes. - Develop scalable dashboards and reporting solutions to track pricing performance and enable self-serve analytics for commercial teams. Data Science & Decision Support - Utilize advanced data analysis, SQL, and Python to build predictive pricing models, opportunity sizing ...
... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, ...
... evaluating and implementing data-engineering and software technologies - In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake) - Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage- and in developing data solutions, models, API and software ...
... DAX - Experience designing Data Warehouse and analytics solutions - Good understanding of Data Lake concepts and structured, semi-structured, and unstructured data - Strong problem-solving, communication, and ownership skills What Will Excite Us: Strong experience in SQL query tuning, data modeling, and DWH design Hands-on ...
... next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. ...
... building data pipelines, and writing efficient, scalable Python code. Key Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate ...