... - Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes. - Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). - Knowledge of data warehousing concepts and familiarity with relational databases. ...
... etc. Bachelor's or Master's degree in Computer Science/Information Systems. At least 4+ years of experience in building data flow and data management on a modern big data tech stack. Strong experience in using ETL frameworks (e. g., Airflow, Jenkins) to build and deploy production-quality ETL pipelines. Knowledge of data structures. ...
... performance tuning, and working with large relational datasets - Experience building and maintaining ETL/ELT pipelines and working with structured and semi structured data - Understanding of data modelling concepts (e.g. relational, dimensional, and/or big data modelling) - Strong understanding of DevOps/CI/CD concepts and tooling ...
... scalable solutions based on Java technology. Advanced experience in JAVA development (Java, Hibernate, Spring Boot, Web Services, Eclipse, Apache) and Scala. Good database development knowledge (Oracle v10+, PLSQL). Experience with microservices and Pivotal Cloud Foundry are highly desired. Experience with test-driven development ...
... governance principles, data quality checks on each data layer. - A successful history of manipulating, processing and extracting value from large disconnected datasets. - Working knowledge of message queuing, stream processing, and highly scalable big data data stores. - Strong project management and organizational skills. ...
... and mitigate data risks throughout the data lifecycle, including protection, retention, storage, use, and quality l Partner with technology teams to capture data sources, formats, and data flows so that data can be validated for downstream analytics and reporting l Investigate and document potential data quality issues, ...
... vector-based data pipelines for AI and GenAI use cases Develop scalable batch and streaming data pipelines using cloud-based data platforms (e.g., Snowflake or Databricks) Create and evolve semantic data models that transform raw data into analytics-ready, trustworthy datasets Build data preprocessing, validation, and quality-assurance ...
... Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different ...
... 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, or ...
... Qualifications: - 7+ years of experience in data engineering and analytics, with a strong background in designing scalable database architectures, building and optimizing data pipelines, and applying statistical analysis to deliver strategic insights across complex, high-volume data environments - Deep knowledge of big data frameworks ...
... required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS 'big data' technologies. Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure ...
... first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence. Overview of the role In Data Science we work with the data from fast changing consumer goods world. Data comes both from standardized databases and from online retail channels in various ...
... self-service data exploration capabilities for users to analyze and visualize data independently. Develop reporting and analysis applications to generate insights from data for business stakeholders. Design and implement data models to organize and structure data for analytical purposes. Implement data security and federation strategies ...
... architectures like RNNs and LSTM , BERT Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases. Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles Keep abreast with new tools, algorithms ...
... English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves Annotation is what helps AI ...
... shape. Senior Data Scientist We have an opportunity for a Senior Data Scientist to join our Data Science team in Bangalore, reporting to the Senior Director, Data Science. In this pivotal role, you will drive advanced analytics and machine learning solutions that power our security, networking, and cloud data products. ...
... Data Analysis and Engineering - Develop and optimise data models to support analytical requirements. - Conduct ETL processes to extract, transform, and load data efficiently into Google BigQuery. - Utilise Pandas for data manipulation, ensuring cleanliness and reliability of datasets. - Create efficient queries to retrieve ...
... intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it. The entry of required data, as specified in the applicable detailed entry and category guidelines provided. General data entry guidelines that define how different fields are to be recorded ...
... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...
... and analysis, as directed. Run and modify SQL queries to generate list reports from data sources. Generate data, identify problems within datasets, and resolve data discrepancies. Create dashboards and interactive custom visualizations using business intelligence tools. Assist in the development of processes and data pipelines ...