... Intelligence Platform team, you will: Build out performant APIs to serve consistent data that serve as sources of truth for many systems in Abnormal. Establish data pipelines that ensure our data is updated regularly and reliably Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...
... and real time data pipelines Build and maintain robust ETL ELT processes for ingesting transforming and loading data from multiple sources Develop and manage data lakes data warehouses and metadata frameworks Collaborate with cross functional teams to understand data requirements and deliver data solutions Ensure data quality ...
... stakeholders. Data Pipeline Design Operations: Design, develop, and support data pipelines to extract, transform, and load (ETL/ELT) data into the new harmonized data platform. Utilize Azure Data Factory (ADF) for orchestration (scheduling, workflow management) and Azure Databricks (Spark) for large-scale data transformation ...
... systems, access control integration, and event logging. CCTV Surveillance Monitoring: Ensure continuous surveillance of critical and sensitive zones such as entry/exit points, lobbies, warehouses, data centers, etc. Immediately alert on-site security supervisors in case of suspicious activity, safety violations, or emergencies. ...
... Science & Supply Chain talent. Collect business requirements from the various stakeholders (Data Scientists, Product Managers, IM) High interest in developing E2E data solutions DevOps/ Agile WoW Experience in designing and building advanced reports Programming languages: Python, PySpark, SQL Data enthusiast Big data frameworks: ...
... PySpark, Snowflake, Delta Lake, Kafka, Kinesis, Airflow, and data engineering best practices. Collaborate with various teams and stakeholders to support end-to-end data platform delivery. Demonstrates strong ownership while driving data engineering excellence. Promotes quality-focused engineering through proactive validation, ...
... reliable, high-quality data, driving excellence in analytics and shaping outcomes that impact industries like H ealthcare and Financial Services . Design and build Data Pipelines using GCP services and BigQuery. Develop and optimize data solutions using Java or Python. Ensure data quality, governance, and compliance across projects. ...
... (Pandas, Polars) and modern big data tools such as Databricks (Spark), Flink, or Kafka. - Strong understanding of data pipeline development, ETL frameworks, and data lakes/warehouses. - Extensive experience with cloud data platforms such as AWS (S3, Redshift, Lambda, Glue), GCP (BigQuery, Dataflow, Dataproc), or Snowflake. ...
... MDX and DAX queries to retrieve and manipulate data. Integrate models with reporting tools such as Power BI, Excel, etc. to deliver dashboards and insights. Data Quality: Implement data quality checks, validation processes, and monitoring to ensure accuracy and consistency. Maintain compliance with data governance policies ...
Purpose of the role Build and maintain all data pipelines feeding the Databricks lakehouse, ensuring clean, timely, and governed data flows from every source across the Investment Division’s five portfolio clusters and, in later phases, the Group’s operating divisions. Own the bronze-to-silver-to-gold transformation logic, ...
... processes to seamlessly integrate data from multiple sources into our data warehouse. Implement advanced data modeling techniques and design efficient, optimized databases to support complex business needs. Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes. Collaborate ...
... 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 ...
... ability to design and fine-tune Deep Learning architectures and NLP models to solve real-world language processing challenges.- Strong proficiency in SQL and Big Data technologies, with the ability to manage and query large-scale databases to support data-intensive applications.- Exceptional communication skills, with the ability ...
... projects end - to - end - from problem definition to model deployment.- Experience working with large-scale datasets and cloud platforms (AWS, GCP, or Azure).- Excellent communication and stakeholder management https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications :- Masters or PhD in Computer Science, Data Science, Statistics, ...
... pipelines for enterprise data platforms, ensuring data quality, integrity, and security. Implement data engineering solutions utilizing Microsoft Fabric, Azure Data Factory, Databricks, PySpark, Spark SQL, and Python to process structured, semi-structured, and unstructured data. Build data pipelines that integrate data from ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested ...
... development of AI and machine learning solutions, including data preparation, model training, fine-tuning, and deployment strategies. Design and implement scalable data pipelines to curate, cleanse, and prepare structured and unstructured data for machine learning and foundation model training. Build and optimize complex agentic ...
... compliant data flows in a cloud environment.- Microservices Integration : Collaborate on Service-Oriented Architecture (SOA) and microservices to ensure seamless data flow between application layers and the data platform.- Database Management : Manage diverse data storage solutions, including Relational (PostgreSQL/MySQL), ...
... field (Mathematics, Statistics, Data Science, Finance, Economics, or related disciplines). Strong understanding of data management and analytics. Proficiency in Excel and/or other data analysis tools. Excellent communication and interpersonal skills for engaging with internal and external data partners. Open to working flexible ...