... analytical Data Analyst with a strong accounting and finance background to join our team. The ideal candidate will have a minimum of 3 years of proven experience in data analysis, financial reporting, dashboard development, and business intelligence solutions. This role requires expertise in Power BI, data visualization, financial ...
... Working with relational and NoSQL databases Ensuring data quality, consistency, and reliability Building data processing and transformation workflows Monitoring data pipelines and troubleshooting failures Supporting data warehouse and data lake environments Documenting data pipelines, schemas, and processes Collaborating with ...
... innovative thinking and problem-solving skills using Big Data. - Have the ability to deliver on ambiguous projects with incomplete data. - 4+ years experience with data visualization tools such as Power BI, Tableau, or Looker. - 4+ years experience with Python and/or R for statistical analysis and data modeling. - 4+ years experience ...
About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced ...
About this Position The Data Engineer supports the development and operation of Henkel's enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers. As part of a ...
... cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. ...
... of experience working in GCP-based Big Data deployments (both Batch and Real-Time), specifically leveraging BigQuery, Bigtable, Google Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Dataproc, and Airflow. Data Design: Proven history of designing and delivering comprehensive data lake and data warehousing solutions. Data ...
... Experience in Python Ability to quickly ramp on multiple, interdisciplinary domains Love for solving complex problems Why Cisco At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We've been innovating fearlessly for 40 years to create solutions that power ...
... Qualifications: - 7+ years of experience in data engineering and analytics, with a strong background in designing scalable database architectures, building and optimizing data pipelines, and applying statistical analysis to deliver strategic insights across complex, high-volume data environments - Deep knowledge of big data frameworks ...
... a Senior Data Engineer to operate & design, manage & maintain, and optimize our data platform. In this role, you will bridge the gap between traditional big data engineering and modern Generative AI infrastructure. You will be responsible for building robust data pipelines on Databricks, engineering high-quality datasets ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
... https://jobeax.com/link/eLxO3SLmpqvNPOZi : - Strong hands-on Databricks Architect/Databricks Engineer Profile with end-to-end build-and-solution capability and Databricks professional certification.- Must have 6+ years in Data engineering/Data architect roles, with at least recent 3 years of hands-on Databricks experience.- ...
... scalable solutions based on Java technology. Advanced experience in JAVA development (Java, Hibernate, Spring Boot, Web Services, Eclipse, Apache) and Scala. Good database development knowledge (Oracle v10+, PLSQL). Experience with microservices and Pivotal Cloud Foundry are highly desired. Experience with test-driven development ...
... identify opportunities to integrate data/insights into decision-making. Understand and translate business requirements from internal and external stakeholders into data product and features. Process, cleanse, and verify the integrity of data used for analysis. Conduct exploratory data analysis to verify the initial hypothesis ...
... mapping rules between source-system data structures and SSPs standardised data models.- Support data profiling, quality assessment and resolution of source-system data issues.- Ensure data integrity throughout the integration lifecycle.4. Reconciliation & Exception Management :- Own transaction-level and data-flow reconciliation ...
Job Responsibilities :- Hands on (Full Stack) SaaS application design and development concentrating on Artificial intelligence using big data technologies.- Facilitate solution efficiencies, scalability and technology stack leadership.- Ensure fool proof and robust applications through unit tests and other quality control ...
... JavaScript or Python etc. • One of the following RDBMS environments: Sybase ASE/IQ, Oracle or DB2 OPTIONAL SKILLS OR QUALIFICATION ( NICE TO HAVE ) • Experience in the Financial Service Industry • Experience in Cluster Computing and Big Data solutions: Spark, Hadoop, HDSF, XRS using public cloud • Degree in Computer Science