... analytical solutions. - Good communication skills with the ability to explain insights to non-technical stakeholders. Good to Have (Preferred): Experience with Google BigQuery / GCP ecosystem . Familiarity with ETL tools or data pipelines. Basic knowledge of Python ( Pandas, NumPy) for data analysis. Exposure to business domains ...
... efficient scripts using PySpark for large-scale data processing. Familiarity with CI/CD for data pipelines and DevOps practices. Strong problem-solving skills and ability to work in an agile environment. Knowledge of data governance, security, and compliance in Azure. Exposure to big data frameworks and streaming technologies.
... main focus on Power BI (Data Modeling, DAX, Visualization). You have experience working with SQL, data handling (preferred) and programming languages such as Python. You have a good understanding of data flows, systems and integrations You have a good ability to translate data into business insights. You have some experience ...
... understanding of data warehousing concepts, dimensional modeling, and ETL best practices. - Strong proficiency in SQL and at least one coding language like Python or Java. - Hands-on experience with open-source big data technologies such as Spark, Flink, and Hive. - Experience with one of the major public cloud platforms, ...
... database architectures to support operational and analytical workloads. Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. Build and support data ingestion, integration, transformation, and storage solutions using SQL, Python, cloud platforms, ...
... solutions are both technically sound and strategically relevant. Expert in at least two programming languages (Python, and Java) Expert in at least one distributed data processing framework (Spark) Expert in at least one cloud data Lakehouse platforms (AWS Data lake services or Databricks, if not Hadoop), Expert in at least one ...
... 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 ...
... workflows to streamline processes and improve efficiency.- Create custom applications using Power Apps to meet business needs.- Write and optimize SQL queries for data extraction and transformation.- Ensure data integrity and reliability across all reporting and dashboard solutions.- Troubleshoot and resolve issues related to ...
... understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, and data pipelines- Familiarity with SQL and data processing- Understanding of cloud platforms such as AWS/Azure/GCP is a plusGood to Have :- Exposure to Generative AI, LLMs, RAG, LangChain, Vector Databases, ...
... monitoring, observability, data-quality validation, reconciliation, and operational support for production ETL pipelines. Good to have: Experience with Oracle AI Data Platform (AIDP), Python, and PySpark for scalable data transformation, analytics engineering, and modern data-pipeline development. Be familiar with automated ...
... concepts to non-technical stakeholders. - Proficiency in data analysis tools and programming languages such as Python, R, SQL, and Amazon Athena - Experience with data visualization tools (e. g., Tableau, Power BI). - Knowledge of data warehousing concepts and experience working with large datasets. - Deploying analytical solutions ...
Experience :- 10+ years of overall IT / Consulting experience.- 7+ years of experience in Data Engineering, Big Data, Analytics, or related technologies.- 68+ end-to-end Databricks implementation projects.- Proven experience in Solution Architecture with strong client-facing https://jobeax.com/link/IXwRnieoNiHPNkEB Technical ...
... the Data Science and Machine Learning techniques - Proven track record of getting ML models into production - Hands-on experience with writing ML models with Python. - Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. Bachelor's degree in Computer Science, Information Technology, or related field ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
... Experience with Databricks or Snowflake and distributed data processing frameworks (e.g., Familiarity with feature stores, vector databases, or model-adjacent data systems Experience managing data quality, validation, and lineage for large, complex datasets Proficiency in Python and experience with data-frame libraries (e.g., ...
... as AWS, Azure, or Google Cloud for data storage and analysis. - Hands-on experience with data quality tools (e.g., Talend, Informatica Data Quality, Trifacta, Data Flux, ice DQ). - Hands-on experience of Power BI or similar report building. - Exposure to Python programming to prepare and process large data sets. - Experience ...
... business goals into production-ready AI applications Work with prompt engineering , embeddings, and vector databases Collaborate with engineering, product, and data teams on performance optimization Deploy AI solutions on AWS, Azure, or GCP and ensure cloud efficiency Requirements: - Proficient in Python , LangChain , SQL ...
... values of integrity, vigilance, and excellence. Support information management initiatives for the client's Global Security Team. Assess and manipulate large data sets with SQL, Tableau, Python, Excel, and other business intelligence tools. Perform ad-hoc reports and analysis, as directed. Run and modify SQL queries to ...
... Llama, and Local Model deployment. Frameworks: LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. ...