... Service Collection roadmap. If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on! Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from large amounts of data which ...
... DevOps Maintain and update automation test suites as required Carry out manual testing, load testing, exploratory testing as required Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals 7-10 years of experience in data engineering roles Good Python skills Experience working with ...
... including DORA metrics (lead time, deployment frequency, MTTR, change-failure rate), code coverage, cyclomatic complexity targets, and P99 latency standards.- Data Governance & Enterprise Security: Drive the strategy and implementation for enterprise data governance, metadata management, data lineage, and strict GCP security ...
... Proven track record deploying and operating AI/ML solutions in production including handoff, lifecycle support, and continuous improvement. - Experience with big data infrastructure and cloud environments Databricks or equivalent, plus at least one major cloud (AWS, Azure, or GCP). - Excellent communication and stakeholder ...
... and automated validations.- Monitor data reliability, completeness, and consistency.- Ensure compliance with data governance and security standards.- Document data lineage, transformation logic, and business https://jobeax.com/link/hMKEkU8RV0Vhjzf1 :- Work closely with Data Architects, Data Scientists, Analysts, Product ...
... workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality. To be successful, you will: - Data Delivery Lead (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS), Cloud SQL, - Good knowledge of Banking Data Domain, delivery tracking, End to ...
... work that directly impacts how the organization leverages data for strategic advantage Collaborative environment where your expertise shapes enterprise-wide data practices Growth opportunities through exposure to cutting-edge governance tools and methodologies Bring your passion for data excellence to a role where it truly ...
... ensuring their needs are supported through effective data solutions.- Contribute to and adhere to established data governance and security practices, including metadata management, data quality frameworks, and data cataloging, to promote trust and reliability.- Enable business functions with clean, structured data that supports ...
... exchange data - Define and employ data modeling and design standards, tools, best practices, and related development methodologies - Design, review and maintain data models - Perform data analysis activities to capture data requirements and represent them in data model visualizations - Manage the life cycle of the data model ...
... Understanding of automation tools like Alteryx, Tableau, Power BI - Knowledge/ Experience with Copilot/ Other AI tools usage in day-to-day BAU processes - SQL, Database knowledge & ability to analyze data and related flows - Knowledge of Agile methodology and tools (i.e., JIRA) Work Timings* 11:30 am to 8:30 pm Job Location* ...
... Monitor Azure resources and ensure high availability and performance.- Collaborate with business analysts, data scientists, and application teams to deliver data solutions.- Prepare technical documentation and provide production https://jobeax.com/link/SmIqDhLyzxAjrjGX Skills :1. Azure Services :- Azure Data Factory (ADF)- ...
... developing and deploying ML models specifically within Manufacturing, Energy, Oil & Gas, or Power sectors. - Strong background in handling time-series and sensor data from industrial or IoT systems. - Hands-on experience with Python, TensorFlow/PyTorch, Scikit-learn, SQL, and cloud ML platforms (AWS, Azure, GCP). - Excellent ...
... Experience with automation and scripting tools such as Python, PowerShell, and GitHub Actions is preferred. - Nice to have: SAP, Snowflake, Power BI, ServiceNow, Data & Process Modeling. - Strong troubleshooting, analytical, and process improvement skills. - Excellent verbal and written communication skills with the ability ...
... QA on data outputs and maintain high standards of accuracy - Strong analytical and critical thinking skills — able to identify inconsistencies and root-cause data issues independently - Experience defining and governing KPIs and metrics frameworks - Excellent communication skills — able to present complex data findings ...
... similar programming languages.- Expert-level experience with big data technologies such as Hadoop, Spark, Hive, Delta Lake, Iceberg, HBase.- Advanced knowledge of data governance, data quality management, metadata management, data lineage, master data management.- Advanced understanding of data security principles, encryption, ...
... proper documentation and approvals. Collaborate with business teams on data governance and compliance initiatives. Identify and implement best practices for data ingestion, data design, and data quality improvement. Develop queries for profiling data, validating analyses, testing assumptions, and driving data quality assessment. ...
... scalability, maintainability and reliability. Collaborate with business and Data & AI teams to translate business requirements into sustainable and scalable data solutions. Ensure platform reliability, performance, data quality and operational excellence. What You Bring A university degree in Computer Science, Data Engineering, ...
... build, and optimize high-throughput data pipelines using Python, R, and PostgreSQL to handle market and execution data. - Build and manage robust, scheduled data workflows using tools like Airflow/Dagster to ensure 24/7 data availability for global markets. - Monitor pipeline health, debug data discrepancies in logs, and ...
... storage. Build and maintain medical imaging data repositories, ensuring seamless access, query optimization, and compliance with healthcare regulations. Implement data processing workflows for clinical imaging data (CT, MRI) to extract, standardize, and structure metadata. Develop scalable solutions for medical imaging data ...