scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
you will be responsible for managing and analysing data to support decision-making processes within the work closely with various departments to gather data, generate reports, and provide insights that drive efficiency. ✓ Collecting, analysing, and interpreting data from various sources to generate reports and insights databases, ensuring data accuracy and integrity. ✓ Creating and implementing data management systems and Collaborating with different teams to understand their data needs and provide solutions accordingly. ✓ Designing
multiple accounts/geographies and overseeing the data management & analysis processes within the organization timely reporting, providing insights, and driving data-driven decision-making. ✓ Lead and manage a team Develop and implement data management processes and procedures to ensure data accuracy, integrity, and the collection, analysis, and interpretation of data from various sources to generate reports and insights Collaborate with different departments to understand their data needs and provide solutions accordingly. ✓ Design
role in ensuring the efficient and effective use of data to support decision-making and improve operational identify data needs and requirements and ensure data integrity and accuracy. ✓ Analyze complex data sets effectively communicate data findings to stakeholders. ✓ Ensure compliance with data privacy and security security regulations and implement measures to protect data integrity across the globe. ✓ Stay updated with on MIS systems and tools. ✓ Foster a culture of data-driven decision-making within the organization.
Developer to provide specialist advice and support on data analyst delivery, methods and techniques; enabling enabling the construction, maintenance and expansion of data analysis. The successful candidate will be required Produce business insights and recommendations based on data analysis and modeling concluded and where relevant Spark and Kafka Coach and mentor other data scientists Promote data literacy with your business stakeholders a direct result of the data solutions provided Stay ahead of the curve on data science trends and leading
architecture is multi-disciplinary, covering application, data, infrastructure, operating system, database, middleware Enterprise Architecture domains (business, application, data, integration, security, infrastructure, etc), in Enterprise Architecture domains (business, application, data, integration, security, infrastructure, etc).Â
ty pursuit management (interface to upstream (capture planning) and downstream (contracting/handover)
leaning heavily on SQL Server to query or manipulate data for the in-house developed systems and reports as solve operational business requirements as well as data manipulation when needed. Creating ad-hoc queries improve existing SQL functionality. Working on large data sets in a live transactional environment with an extended functionality. Querying and summarising data across multiple servers and databases using linked including use of stored procedures, triggers, views, data types, keys indexes, constraints, foreign keys,
broadcast companies is on the lookout for a Senior Data Engineer to join their team. The chosen candidate Solid understanding of Golden Gate Plug-ins (Big Data / Kafka), GG Directors and Cloud Console Cloud Services
identify documentation repositories, ensuring optimal data storage solutions Research, create, and maintain organizational and legal standards, facilitating easy data migration Develop content in alternative media forms volume. Privacy: Data processed as per Privacy Policy. By applying, you agree to data handling. We safeguard