... applications and next steps. Our partner is looking for a Senior Data Scientist – Adversarial based in India. Join a global web security environment where advanced data science directly contributes to protecting major digital platforms and brands. As a Senior Data Scientist, you will investigate sophisticated attacks, analyze ...
... Systems, Computer Science, Data Analytics, or a related field. • Strong analytical and problem-solving skills with the ability to understand complex business and data requirements. • Interest in financial processes, enterprise systems, and data-driven decision making. • A proactive mindset, willingness to learn new technologies, ...
... computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL ...
... experience working with real-world datasets. Experience in data cleaning, preprocessing, and exploratory data analysis. Hands-on exposure to SQL, Excel, Python, and data analytics tools. Experience creating dashboards, visualizations, and analytical reports. Practical understanding of data-driven decision-making. Experience communicating ...
... Must-have: Ability to identify data quality issues, investigate root causes, and apply fixes in line with business rules Experience in data mapping and in executing data remediation and cleansing activities as part of a platform migration SQL (and Python if possible) skills for querying, analysing, and remediating data at scale ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data 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. Data Engineering Minimum 5 ...
... data architecture, cloud platform design, or equivalent data-platform architecture.- Distributed Computing: 10+ years of experience working with distributed data processing or modern cloud data platforms, with strong hands-on exposure to Databricks, Spark, Snowflake, or equivalent technologies.- Data Architecture: Strong ...
... microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments.- Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data.- Integrate with existing ...
... https://jobeax.com/link/Cexs453KRiH2S1rJ Qualifications :- Masters or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.- Experience in building data products, MLOps, or AI-driven business solutions.- Exposure to BI tools and data visualization (Tableau, Power BI, Looker).- Familiarity with experimentation ...
... (LDD)—and extending them into a standalone, buildable database structure. Traditional 'UI-first' database design is strictly banned; instead, you will engineer databases backward, starting exclusively from the defined End Document (ED) and reverse-engineering step-by-step to the Source Document (SD). Document Database Schemas ...
... language (e.g., Python, KornShell) Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related fields Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. If you have a disability and need ...
... equivalent; higher education preferred. - Availability to work assigned shifts, including evenings and weekends if required. Nice to have - Experience in a call center or customer service role. - Knowledge of Accenture products or services. - Familiarity with data entry or database management. - Bilingual or multilingual skills.
... secure and high performance data platforms and architectures Lead the development of batch and real time data processing solutions using modern cloud and big data technologies Define data engineering standards best practices and governance frameworks Drive architectural decisions for data lakes lakehouses data warehouses ...
... callers. Candidates should possess strong verbal communication skills, clear telephone etiquette, and active listening abilities. Candidates should possess basic computer literacy, including data entry, CRM or call management tools, and email communication skills. Candidates should possess customer service and relationship-building ...
... to data engineering tasks. Bachelors degree in Computer Science, Mathematics, Engineering, or a related field. 5+ years of experience working with enterprise data platforms, including building and managing data lakes. 3 - 5 years of experience designing and implementing data warehouse solutions. Expertise in SQL, including ...
... Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field Amazon Web Services certification, such as AWS Certified Data Analytics, or an equivalent cloud platform credential is highly desirable Lead the design and delivery of scalable, secure data infrastructure that supports advanced ...
... 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 ...
... Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Experience with dbt (data build tool) for transformation layer management and semantic modeling. Familiarity with data lakehouse ...
... constructive feedback. Ensure continuous professional development of team members. Qualifications Educational qualifications & Experience: Bachelor's degree in computer science, Information Security, or related field. 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. ...