... Modelling, OLAP cube modelling.- Data compression into PARQUET to improve processing and finetuning SQL programming skills.- Experience building and optimizing "big data" data pipelines, architectures and data sets.- Experience performing root cause analysis on internal and external data and processes to answer specific business ...
... - Experience with Tableau performance optimisation, data-source management, security, and BI governance. - Tableau certification , such as Tableau Certified Data Analyst or Tableau Desktop Specialist, is an advantage. - Working knowledge of Python or R for statistical analysis and integrating analytical outputs into BI ...
... prediction and forecasting tasks on tabular/text datasets. - Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. - Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) to support model development. - Build and deploy end-to-end ...
... Responsibilities: - Build and operate internal data platforms, services, and distributed workflow systems (Temporal, Airflow) that the rest of the company's data stack runs on. - Write and maintain internal Python libraries (including shared Airflow operators and frameworks) consumed by other engineering teams. - Build ...
... optimisation, scalability, and cost management in data systems - Ability to work closely with Data Analysts and stakeholders to translate requirements into scalable data solutions - Strong communication skills with the ability to turn ambiguous requirements into structured data models and pipelines - Pragmatic approach to balancing ...
Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...
... analytical reports. - Work with SAP BW to understand data structures, data flows, queries, InfoProviders and reporting layers. - Extract, validate and reconcile data from SAP BW and other data sources . - Perform data quality checks, validation and root-cause analysis for reporting/data issues. - Write complex SQL queries ...
... analytical reports. - Work with SAP BW to understand data structures, data flows, queries, InfoProviders and reporting layers. - Extract, validate and reconcile data from SAP BW and other data sources . - Perform data quality checks, validation and root-cause analysis for reporting/data issues. - Write complex SQL queries ...
Job Description: As a Lead Big Data Developer , you will drive technical excellence across the Airbus Skywise ecosystem (built on the Big Data Apache Spark framework/Lightweight architecture). You will be responsible for defining technical standards, establishing best practices, and enforcing 'Golden Rules' across the codebase. ...
... root cause analysis to improve data quality. Data Governance Define and implement data governance frameworks, policies, and standards. Ensure compliance with data quality, data privacy, and regulatory requirements. Establish data lineage, metadata management, and data stewardship practices. Monitor and improve data quality ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. AWS AI Services Minimum 3 Year(s) ...
... Experience with system integration, implementation, upgrades, migrations, or technology modernization. - Good understanding of application, infrastructure, cloud, database, networking, or platform technologies relevant to the role. - Familiarity with automation, monitoring, DevOps, CI/CD, cloud platforms, or modern engineering ...
... We are looking for an experienced and highly skilled Lead Data Scientist with 8–13 years of experience to lead the development and implementation of advanced data science and machine learning solutions. The ideal candidate will have strong expertise in Data Science using Python, Machine Learning, and Deep Learning , along ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
... bring We are looking for an experienced Data Governance Lead who can improve business processes through the practical use of data and AI, and deliver trusted data for enterprise solutions. You will bring: - At least 10 years of experience in data governance, data management or a related field. - Deep knowledge of data governance ...
... modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and unstructured data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and ...
... years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments • Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities • Excellent verbal ...
... architectures for batch, near real time, and event-driven use cases. - Define logical and physical architecture patterns using cloud-native platforms and modern data technologies. - Guide the development of scalable, secure, reliable, and cost-effective data solutions using tools such as Databricks, dbt, SQL, Python or Scala, ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... control execution. Drives Efficiency - Automates audit evidence collection and continuous control validation workflows using scripting and APIs (e.g., PowerShell, Python), reducing manual effort and improving reliability of compliance reporting. - Standardizes data protection configurations, labeling models, and DLP policy structures ...