... ensure seamless provisioning, troubleshooting, and optimization of network systems. Job Location: Bangalore Includes working in Rotational Shift Required Skills: Data analytics and reporting Troubleshooting internetwork routing and switching at datacenter scale Bash and Python scripting for device automation via CLI SDN automation ...
... system (multi-step agents, tool-calling, or multi-agent orchestration), not just prototypes - Prior experience with entity resolution, record linkage, or master data management systems, especially in financial/market-intelligence or risk analytics domains - Experience owning architecture decisions for systems that span multiple ...
... Solutions Architect - Data Engineering based in India. This is a senior, client-facing opportunity for a technical leader who can transform complex business and data challenges into scalable, production-ready solutions. You will lead architecture and delivery across modern Data & AI platforms while partnering directly with ...
... development team, participating in Scrum ceremonies, sprint planning, and the collective execution of work items. Experience: 1 to 3 years of hands-on experience in data engineering, data science, or advanced data analytics. Core Technical Stack: Advanced proficiency in Power BI and Snowflake. Programming Languages: Core coding ...
... https://jobeax.com/link/34bhrmqrKNaUPIfW Description :As a Member of the Data & Analytics team, youll work on transforming data from multiple sources into useful, consistent and easily consumable data elements. Youll strive to continuously improve the data lake and data warehouse and achieve our goals of a best-in-class data https://jobeax.com/link/APpiNK4veXFqKSBZ ...
Working with data collected from market research surveys to provide a variety of output reports, using software products such as Quantum, SPSS, Dimensions Processing, formatting and presenting the data in accordance with global NIQ quality standards Prioritize, structure and deliver data processing (data table production, ...
... part of our expert team, you'll have the opportunity to ensure operational excellence that makes a real difference in organizational performance. As a Clinical Data Team Lead, you will act as the lead data manager for one or more projects or provide support to the lead data manager. You may lead all data management activities ...
... analysis including but not limited to data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings ...
... 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. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational ...
... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...
Job Summary :We are looking for a Java/Scala Data Engineer with strong experience in backend development, distributed systems, messaging platforms, and data engineering. The role involves building scalable applications and data solutions using Java, Scala, Spring Boot, Kafka/MQ, and https://jobeax.com/link/ddHevVfGxaZZMFi7 ...
... AirflowResponsibilities : - Utilize SnowSQL for querying and managing Snowflake databases and implementing data transformation processes.- Collaborate with analytics and business teams to understand data requirements and provide solutions that meet organizational needs.- Implement and manage data integration solutions using ...
... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...
... pipelines. Develop data set processes for data modeling, mining, and production. Analyze and organize raw data, ensuring it is accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including data flow diagrams ...
HIRING | DATA SCIENTIST We are hiring an experienced Data Scientist for TrueiD Private Limited . Location: Hyderabad Experience: 7–12 Years CTC: ₹42–45 LPA Industry: IT Notice Period: Immediate to 15 Days Employment Type: Full-Time Key Responsibilities - Design, develop and deploy advanced Machine Learning and Data Science ...
... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...
... https://jobeax.com/link/DVNPqmuJiSaGyS17 : 1. Data Ingestion, Streaming & Search Analytics : - Batch & Streaming Pipelines : Build and manage data ingestion pipelines using AWS Glue, extracting data from multiple sources - including Kafka, OpenSearch, and PostgreSQL - and routing it reliably into our Data Lake and Data Warehouse.- Search & Near-Real-Time ...
... code changes. Collaborate with cross-functional teams (analysts, product managers, and engineers) to understand business needs and translate them into technical data solutions. Ensure data integrity, security, and governance across multiple data sources. Optimize query performance and database architecture for efficiency and ...
... migrations to Databricks from Hadoop ecosystems, Data Warehouses (Teradata, DataStage, Netezza, Ab Initio), ETL engines (Informatica), SAS, SQL, DW, Cloud-based Data platforms like Redshift, Snowflake, EMR, etc.5. Design, Build and Optimize Data Pipelines : - The Databricks implementation will be best in class, with flexibility ...