... Collaborate with cross-functional teams to integrate diverse data sources into the data ecosystem Utilize AWS services for data storage, integration, and streaming solutions Maintain workflow orchestration using Apache Airflow Proactively adopt emerging data engineering technologies Solve novel problems in ambiguous environments
... Includes working in Rotational Shift Required Skills: Data analytics and reporting Troubleshooting internetwork routing and switching at datacenter scale Bash and Python scripting for device automation via CLI SDN automation experience Fiber optic circuit troubleshooting, including MTP fanouts Knowledge of datacenter space, power, ...
... Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: - 15+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role - 10+ years of experience with Big Data technologies, including Apache Spark™, AI, Data ...
... query performance proactively identify and resolve performance bottlenecks. Manage big data lifecycle - design data models and schemas (star/snowflake), enforce data partitioning and retention policies, implement data quality checks, and ensure data accuracy and freshness SLAs are consistently met. Deliver on ambiguous requirements ...
... delivery and stakeholder management.- Practical data-lake https://jobeax.com/link/hgZXWGbivT1rywct Stack & Qualifications:- Bachelors degree in computer science, Data Analytics, Engineering, or a related discipline.- Strong grasp of core data engineering principles, including data lake architectures, columnar storage formats, ...
... not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent https://jobeax.com/link/wG4xWp4WUrWMLMb3 Qualifications: Experience working on largescale big data systems such as Cosmos, Hadoop, Magnetar, or equivalent platforms Experience building or operating streaming data pipelines (e.g., realtime or nearrealtime ...
... structures, algorithms, design concepts, and programming practices. - Data modelling for OLAP workloads, Scalability design and query optimisations - Understanding of data consistency at cloud scale, eventual consistency models - Hands on experience with Big data tools and frameworks (Datalake / Lakehouse, ETL) preferably in public ...
... quality, testing, documentation, troubleshooting, and business outcomes. - Hands-on experience with several modern cloud and data platforms, such as Snowflake, Databricks, Google BigQuery, AWS, Microsoft Azure, and Google Cloud Platform . - Strong data engineering experience with technologies such as Python, SQL, Java and/or ...
... ceremonies, sprint planning, and the collective execution of work items. Experience: 1 to 3 years of hands-on experience in data engineering, data science, or advanced data analytics. Core Technical Stack: Advanced proficiency in Power BI and Snowflake. Programming Languages: Core coding skills in Python (highly preferred) or R. ...
... potential can thrive. The Role Required Skills and Experience - •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes - •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc - •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB ...
... Architecture (Bronze/Silver/Gold) using Matillion for ingestion and dbt for downstream transformations.- Experience with Parquet, JSON, CSV, and other common data formats.4. Programming Languages : - Python - data transformation, notebook development, automation, and Matillion script components.- SQL - strong query and ...
About the Role We're looking for a Business Data Analyst to support decision-making across the business through accurate, reliable data and sharp analysis. You'll build dashboards, mine data for patterns, and generate insights that teams can directly act on. This role requires someone who's not just technically strong but ...
... tables, data listings, and graphs for CSRs, as well as integrated summaries of safety and efficacy, ad hoc analyses and electronic submission deliverables, such as datasets, data documentation, programs, programming table of contents, and patient https://jobeax.com/link/DoVgLXWcmsr5WWVr addition, the Senior SAS Programmer supports ...
... optimization, and version control.- Strong problem-solving and analytical https://jobeax.com/link/ZitjVqvb84V4AOyQ to Have:- Experience with asynchronous programming in Python.- Familiarity with databases such as PostgreSQL, MySQL, or MongoDB.- Experience with Git and CI/CD pipelines.- Exposure to cloud platforms such as AWS, Azure, ...
Your IT Future, Delivered. Senior AI Engineer (Python, GenAI) With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of ...
Job Description:We are looking for an Infrastructure Automation Engineer with strong hands-on experience in Python and Ansible to develop and implement infrastructure automation solutions. The role involves automating certification and plant management activities, integrating APIs for infrastructure-on-demand, and supporting ...
... Delivery teams (incl. HUB) Technology & Data teams (T&D) Support Teams (IT, HR, etc.) Skills, knowledge and experience required: Advanced knowledge of other Data Processing programming languages and software (e.g. SPSS, Displayr, Python, C, R) Advanced knowledge in MS Office, VBA Macro preferred Working knowledge in Project ...
... part of our expert team, you'll have the opportunity to ensure operational excellence that makes a real difference in organizational performance. As a Clinical Data Team Lead, you will act as the lead data manager for one or more projects or provide support to the lead data manager. You may lead all data management activities ...
... analysis including but not limited to data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings ...