... systems, dashboards, and performance metrics that support key business outcomes. Provide insights, assessments, and recommendations through Tableau, Power BI, Excel, and PowerPoint. Apply data quality controls, validation, and cleansing processes to ensure the accuracy and reliability of data assets. Capture and share intellectual ...
... - 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. ...
Requirements Strong programming skills in Python and SQL. Experience with data processing leveraging programming skills in Python and Spark. In-depth understanding of the Kafka platform for (real-time) data ingestion and processing of high-volume data. Design and architect data flows and data management in a Cloud environment ...
... Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive ...
... 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 ...
... Design, develop, and maintain scalable data pipelines and ETL processes leveraging AWS services such as S3, Glue, EMR, Lambda, and Redshift.- Collaborate with data scientists and analysts to understand data requirements and implement solutions that support analytics and machine learning initiatives.- Optimize data storage ...
This is a remote position. India Market Entry (IME) is a leader in market entry strategy and business expansion in the Education Sector in India. We excel in assisting international clients to establish themselves in the Indian market. Our mission is to build lasting relationships with customers through intelligent sales ...
... Java, JavaScript, or Python OR equivalent experience. Experience building scalable and highly available cloud services spanning multiple regions and/or clouds. Data modeling and big data processing experience Experience in work management and asset inventory systems #This position will be open for a minimum of 5 days, with ...
... roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Technical Skills Natural Language Processing (NLP): Hands-on experience in ...
... ownership, OR - 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, ...
... 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 ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... support decision-making processes. 6. Maintaining confidentiality and security of sensitive information at all times. 7. Continuously seeking ways to improve data entry processes and efficiency within the company. If you are a detail-oriented individual with excellent typing skills and a passion for data accuracy, we invite ...
... Collaborating with team members to troubleshoot any data entry issues and discrepancies. 6. Providing support for various departments by entering and updating relevant data. 7. Upholding strict confidentiality and security measures to protect sensitive information. If you have a keen eye for detail, excellent typing skills, and a ...