... queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence ...
... queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence ...
... queries and stored procedures to handle large-scale data transformations.- Strong experience in building and maintaining robust ETL/ELT workflows using modern data engineering tools and frameworks.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and influence ...
... analyzing and interpreting complex data sets to drive business decisions and strategies. We are looking for a skilled professional who is proficient in Python, SQL, Data Analytics, MS-Excel, Data Science, Power BI, and Tableau. If you are passionate about leveraging data to make informed decisions and drive business growth, then ...
... strategic or transformational change initiatives, including data governance, data quality, or analytics transformation https://jobeax.com/link/LsX0MHwADPrlj8n9 technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms) Understanding of data ...
... large-scale data processing, Python development, distributed systems, databases, data quality, and governance. What You’ll Do - Design, build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop ...
... large-scale data processing, Python development, distributed systems, databases, data quality, and governance. What You’ll Do - Design, build, and maintain scalable data pipelines and architectures for large-scale data environments. - Translate business and technical requirements into reliable data engineering solutions. - Develop ...
... product sense: Explaining models and trade-offs to non-technical enterprise clients and shaping the https://jobeax.com/link/J7mB9kxf2YjEGDe3 :- 6+ years of applied data-science experience, with at least one project involving geospatial or location data end-to-end.- Degree in Computer Science, Statistics, Geoinformatics/GIS, Physics, ...
... AI-enabled methods - Design and govern reusable data assets and data products - Establish standards and patterns for robust, scalable data pipelines - Ensure data is discoverable, trustworthy, and fit-for-purpose for analytics, ML, and operational use cases The ideal candidate blends deep technical expertise with strong ...
... Supporting ad-hoc data analysis and business reporting requests Validating data accuracy, consistency, and completeness Investigating data discrepancies and resolving data quality issues Preparing analytical summaries and presenting findings to stakeholders Collaborating with business and technical teams to understand data requirements ...
... recommendations, and data narratives clearly to both technical and non-technical stakeholders including senior leadership.- Support roadmap prioritization with data-driven sizing, impact estimation, and opportunity https://jobeax.com/link/BmgSKkXu5gqyq1tf Culture & Governance : - Champion a culture of data literacy and evidence-based ...
... scalable data infrastructure to move, process and serve data. Writes, deploys and maintains software to build, integrate, manage, maintain, and quality-assure data at bp. Adheres to and advocates for software engineering best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, ...
... management techniques.- Experience with distributed data processing frameworks (e.g., Hadoop, Spark, Flink).- Strong foundation in data modeling, ETL processes, and data warehousing principles.- Excellent written and verbal communication skills, with the ability to convey technical ideas clearly to both technical and non-technical ...
... Experience evaluating LLM output https://jobeax.com/link/x9syMwGh42X5veir Responsibilities :- Lead Engineering Teams: Provide technical leadership and mentorship to data engineers, fostering a culture of excellence, innovation, and continuous improvement.- AI/ML Enablement: Collaborate with Data Science and ML Engineering teams ...
... tools that can further automate the software development, testing and deployment workflow. Strong academic background – minimum of a bachelor’s degree in a technical or quantitative field. Strong data science background, with experience turning noisy, real-world data into validated, well-behaved signals or models. Rigorous ...
... provide actionable insight into customer acquisition, operational efficiency, and other key business performance metrics.- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.- Utilize GitHub for version control, code collaboration, and repository management.- Implement ...
... complemented by hands-on experience in managing data flows through Kafka.- Exceptional communication skills with the ability to articulate technical concepts to non-technical stakeholders and work effectively within a collaborative, fast-paced environment.- A Bachelors or Masters degree in Computer Science, Engineering, or a related ...
... questions into clear analytical approaches, data requirements and measurable outcomes. Communicate methods, findings, trade-offs and limitations clearly to technical and non-technical audiences. 3-6 years of relevant experience in data science, data engineering, analytics engineering or a closely related role, including ...
... protocols Candidate Qualifications - Education: Bachelor's degree in computer science or equivalent - Experience: 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI) - 2+ years of experience in cloud-based data platform development - Expertise in building Azure-based data pipelines, including: ...
... Experience of using at least one data modelling tool, ideally ERStudio or Erwin.- Understanding of fundamental design principles behind a scalable application and data design.- Strong Exposure to IT Project Lifecycle.- Life Science Domain Experience.- Ability to interpret and communicate technical information into business https://jobeax.com/link/JmhrxeNl4Tx5VdIN ...