... 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 ...
... 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 ...
... - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) Advanced degree in Data Science, Computer Science, or a related field Experience with big data technologies (e.g., Strong problem-solving skills and the ability to translate complex data requirements into scalable solutions Knowledge of data governance ...
... 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 ...
... 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 ...
... 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.
... 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 ...
... standards. Develop tools for better discovery and consumption of data. Work with data scientists and the business analytics team to assist in data ingestion and data-related technical issues. Education and Experience Required: Typically a first-level university degree in technical communications, computer science, or a related ...
... 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 ...
... 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 ...
... Experience: Bachelor s or master s degree in computer science, Information Systems, Data Analytics, or a related field. Approximately 5+ years of experience in data analysis, data modeling, or data management roles, including involvement in large-scale ERP or data transformation projects (e. g. ERP migration, data warehouse ...