. Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications More ❯
and algorithm development. Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib). (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm). Proficiency in Python, AWS services, and ETL/ELT pipelines. Understanding of key software design principles, design patterns, and testing best practices. Experience with Kubernetes and/ More ❯
dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics More ❯
dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics More ❯
dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics More ❯
Experience with using git, or similar version control systems Experience with extract, transform and load (ETL) development for data ingest pipelines Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring Experience with CI/CD pipelines Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them Experience providing analytical judgement More ❯
/marketplace model on AWS/Snowflake. Review AWS Infrastructure components design & usage and implement enhancements. Design and implement an ETL (Extract, Transform, Load) engine using AWS EMR (Elastic MapReduce) for efficient data processing. Design, review, and implement reporting solutions integrating Tableau with AWS services for seamless data visualization. Design and implement containerized UI applications (frontend & backend) with microservices architecture More ❯
can do in person with client) Duration: 12 Months Required Skills:Programming Languages: Strong proficiency in Python, Java, and SQL. Big Data Frameworks: Deep understanding of Hadoop ecosystem (HDFS, MapReduce, Hive, Spark Cloud Data Warehousing: Expertise in Snowflake architecture, data manipulation, and query optimization. Data Engineering Concepts: Knowledge of data ingestion, transformation, data quality checks, and data security practices. Data More ❯
skills in Python. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written More ❯
R, KNIME, MATLAB. •Deep learning experience with TensorFlow is a plus. •Experience with Natural Language Processing is a plus. •Experience working with large datasets using tools like Hadoop, Spark, MapReduce, Pig, or Hive is a must. •Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus. •Proficiency working with agile methodologies, ceremonies. •Exceptional collaboration More ❯
campaign optimization and iterative model updates. Experience building applications on top of large-scale ML/DL frameworks ( TensorFlow, PyTorch). Expertise working with data processing tech stack (Spark, MapReduce). Expertise in building data-driven services and applications (ETL). Experienced with interdisciplinary collaborations with Data Science, Product, and Business stakeholders. A proven track record of thriving in a More ❯
R and/or Python, including data munging Is adept at creating reproducible deliverables (Rmarkdown, notebooks, etc.) Has experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark) Note: This position requires the ability to work in the United States without visa sponsorship. MarketBridge is an Equal Opportunity Employer. The ideal candidate will: Can balance multiple projects More ❯
We are looking for a motivated Senior Data Engineer (AI) who is willing to dive into the new project with a modern stack. If you're driven by a curiosity to learn and a desire to produce meaningful results, please More ❯
Java, Python, Go and/or JavaScript. Experience with data analysis tools (such as BigQuery, SQL), data visualisation tools, and with data processing algorithms (Hadoop, Flume, Spark, Apache Beam, MapReduce) Ability to independently work with cross-functional teams to drive features to completion. The US base salary range for this full-time position is the salary range below + bonus More ❯
engineering systems to improve the latency, capacity, stability and reduce infra cost What we're looking for: Languages: Python, Java Machine Learning: PyTorch, Tensorflow Big data processing: Spark, Hive, MapReduce 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale 7+ years experience with large scale distributed backend service Experience in working in Deep learning More ❯
do attitude, and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication. Ability to travel as needed Preferred Qualifications: Experience with scalable ML (MapReduce, Spark). Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning. Experience with reinforcement learning. A portfolio of projects (GitHub, papers, etc.). More ❯
including MySQL and NoSQL Database; (6) Query processing and optimization; (7) Object Oriented Design (OOD) and Object Oriented Programming (OOP); (8) Statistical Analysis; (9) Multithreading and Programming Concurrency; (10) MapReduce and Spark. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is permitted. Salary: $182,384.16 - $244,872.00 per annum. Submit a resume to Job via More ❯
learning ) with a strong mathematical foundation in linear algebra , calculus , probability, and statistics. Experience in time-series data analysis , including cleansing and normalization , and experience with scalable Machine Learning ( MapReduce , streaming). Software development expertise in Python and JavaScript , with experience using Git or other version control systems . Ability to drive projects independently and collaboratively, demonstrating a strong work More ❯
Job Title : Data Engineer Location : Cleveland OH, Pittsburgh PA or Dallas TX Duration : Full-time Domain : Banking Skill to be focused: Python, Spark, and Hadoop Job Duties : 6-7+ Years experience working in Data Engineering and Data Analysis. Hands More ❯
Job Title: Senior Data Engineer Location: Remote, US Department: Engineering Type: Full-Time, Exempt Experience: 5+ years of experience Salary Range: $145,000-170,000 (+ bonus &equity) Core Hours: 9 AM - 1 PM PST About tvScientific tvScientific is the More ❯
Please find the jd below and let me know interest. Location - Pittsburgh and Cleveland Note- This is a FTE role with Incedo. Data Engineer ( 2 openings) 8+ Years experience working in Data Analysis . Hands on Experience in Hadoop Stack More ❯
We are hiring an Senior Data Engineer for one of our clients in Cleveland, OH, Pittsburgh, PA, Dallas, TX. Job Description: 8-10 Years experience working in Data Engineering and Data Analysis. Hands on Experience in Hadoop Stack of Technologies More ❯
6+ Years experience working in Data Analysis . Hands on Experience in Hadoop Stack of Technologies ( Hadoop ,Spark, HBase, Hive , Pig , Sqoop, Scala ,Flume, HDFS , Map Reduce). Hands on experience with Python & Kafka . Good understanding of Database concepts More ❯
