Junior Business Analyst – AI Platforms & R&D Department: Data Analytics and AI Solution - Research & Development / Platform Engineering You will be joining a dynamic, 200-member strong technology organization, working directly within our specialized 50-person Platform R&D division. Our mission is to research and develop ...
... FinTech) strongly preferred. - Hands-on experience with enterprise planning and reporting tools: Anaplan, Oracle, Power BI, or equivalent. - Familiarity with data science concepts (data wrangling, statistical analysis, visualization) and comfortable working with large datasets. - Experience with automation and process improvement ...
... FinTech) strongly preferred. - Hands-on experience with enterprise planning and reporting tools: Anaplan, Oracle, Power BI, or equivalent. - Familiarity with data science concepts (data wrangling, statistical analysis, visualization) and comfortable working with large datasets. - Experience with automation and process improvement ...
... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...
... experience in Data engineering. Pyspark with GCP and AWS,Snowflake and Data bricks are required skills. Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. ...
Role: Senior Data Scientist Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience Work closely with the business stakeholders to identify the potential Data science applications Contribute by doing opportunity analysis, building ...
... integration solutions across multiple internal and external systems Ensure data quality lineage observability security and compliance requirements are met Implement data modeling strategies for analytical and operational use cases Partner with business leaders architects product teams data scientists and analysts to translate ...
... the enterprise data lake, ensuring seamless flow and quality. Enhance cloud data infrastructure on AWS or Azure for scalability and performance. Utilize big data tools and frameworks to optimize data acquisition and preparation. Build architectures to move data to/from data lakes and data warehouses for advanced analytics. ...
... Amazon Kinesis - Experience with data modelling and database design across Structured Query Language and NoSQL platforms - Understanding of data governance, data quality, and security best practices - Ability to translate business requirements into technical solutions in partnership with data scientists, analysts, and ...
... huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecture of advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to ...
... seasoned Senior Data Scientist with e-commerce expertise to join our dynamic team. Must-Have Skills: Machine Learning Algorithms, Python or R Programming, Big Data Technologies (Hadoop, Spark, or equivalent), Data Visualization Tools (Tableau, Power BI, or similar), SQL and Data Modeling Expertise. Data Analysis & Insights ...
... compelling and clear business focused insights. Can work with multiple databases and big data solutions. Work with the data engineering team to develop & maintain data pipelines. Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security ...
... scalable data processing solutions using Big Data technologies and distributed system s Strong hands-on experience with Python and PySpar k for developing efficient data pipelines and applications Develop and optimize complex SQL querie s, data models, and database solutions Analyze and improve performance of Apache Spark workload ...
... understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . - Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . - Experience with both relational and document-oriented databases; practical ...
... tools. Data Modeling & Architecture: Skilled in dimensional and semantic modeling, database design, and building performant, governed analytics-ready structures. Data Quality, Metadata & Curation: Capable of cleansing, transforming, and validating data; familiar with lineage, cataloging, and data quality frameworks. Experience ...
Role Overview Application Senior Data (Platform) Engineer Location: Hyderabad | Department: Technology, Data About The Role Are you passionate about building reliable, scalable data platforms that make analytics and AI development easier As a Senior Data Platform Engineer, you will be hands-on in building, operating, and ...
... build high throughput services Designing and implementing code in SQL/Python Good understanding and implementation experience in Data Governance, Data Quality, Data Modelling etc. Ensure projects are delivered on time and to the satisfaction of the stakeholder Experience required - 7+ years of experience as a data engineer/similar ...
... Python for data workflows and pipeline development. - Strong experience with SQL, Spark, Iceberg, Hadoop, HDFS, and dbt. - Familiarity with third-party APIs and data ingestion processes. - Excellent communication skills, with the ability to work independently and engage effectively with both technical and non-technical stakeholders. ...
... etc Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Experience handling un-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven ...
... manipulation and optimization techniques. - Working knowledge (basic to intermediate) of AWS, Airflow, Snowflake, Iceberg, SQL, Linux, Docker, GitHub, Terraform, Excel. - Strong understanding of data modeling concepts (normalized and dimensional models) and multiple data storage systems. - Advanced knowledge of software development ...