... Stay updated with the latest trends and technologies in data engineering and cloud https://jobeax.com/link/tc87s3O0UluGFFwp Skills :- ADF, SQL, Pyspark, Python, DatabricksQualifications :- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
... Stay updated with the latest trends and technologies in data engineering and cloud https://jobeax.com/link/tc87s3O0UluGFFwp Skills :- ADF, SQL, Pyspark, Python, DatabricksQualifications :- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.- Proven 6+ years of experience as a Data Engineer, ...
... global projects. - Degree in Engineering, Computer Science, Information Technology, Data Science, or a related discipline. Formal training or certification in Data provisioning will be preferred. Experience: · 5+ years of rich experience with Data provisioning within Supply Chain . (prior experience collaborating with global ...
... contract and the Sponsor’s expectations. Core Responsibilities • Acts as Functional Lead for Data Management including primary contact for internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups • Coordinate the work of the assigned Data Management/Data Operations ...
... and convenience in a seamless digital experience. Collaboration with Data 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 ...
... preparing data for prescriptive and predictive modeling. Data engineers also develop data set processes for data modeling, mining, and production, integrate new data management technologies and software engineering tools into existing structures, and collaborate with data scientists and analysts to ensure data accuracy and ...
... business-focused data solutions.- Mentor junior engineers and promote data engineering best https://jobeax.com/link/E00qLmZDpXHJjFEm Qualifications : - 5+ years of Azure Data Engineering experience.- Experience with large-scale distributed data processing systems.- Databricks and/or Azure Data Engineering certifications preferred.- ...
... reliable datasets and documents that board members, legal, risk, and compliance teams rely on to make decisions. In this role, you'll work hands-on with governance data, migrate it between platforms, build smart questionnaires for directors and officers, and use Excel, databases, and AI tools to streamline how information is ...
... behavior. Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks. Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows. Validate data quality, consistency, and correctness across datasets and experiments. Create clear, well-documented ...
Role Overview : We are seeking a seasoned Data Engineering professional to spearhead our data architecture initiatives and drive the evolution of our analytical ecosystem. In this role, you will be responsible for designing robust data models and optimizing our Snowflake-based data warehousing environment to support complex ...
... 401 applicants About the job As a Data Analytics Executive at LAVORO GROUP OF TECHNOLOGIES, you will play a crucial role in 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, ...
... Inputting data accurately and efficiently into our systems 2. Maintaining and updating databases with the latest information 3. Generating reports and analyzing data using MS-Excel 4. Ensuring data integrity and quality control measures are followed 5. Collaborating with team members to optimize data management processes 6. ...
... 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. ...
... these agreements. - Act as the primary point of contact for vendor escalations, quality issues, and capacity scaling needs. - Coordinate cross-functionally with Data Science, Engineering, Product, and Delivery teams to align annotation output with project timelines and model requirements. Build dashboards/reports to track ...
... through the company's product suites About The Role We are looking for a Data Scientist to join Mastercard's Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... Python for data engineering workloads.- Demonstrated experience building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...