MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in Python and at least one other programming language such as Java, or Scala. Willingness to mentor more junior members of the team. Strong analytical and problem More ❯
MySQL, PostgreSQL, or Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in at least one programming language such as Python, Java, or Scala. Strong analytical and problem-solving skills with the ability to work independently and in a More ❯
modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco More ❯
modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Data visualization – Tools like Tableau Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Spark streaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB) Experience in cloud data eco More ❯
data technology with experience ranging from platform architecture, data management, data architecture and application architecture High Proficiency working with Hadoop platform including Spark/Scala, Kafka, SparkSQL, HBase, Impala, Hive and HDFS in multi-tenant environments Solid base in data technologies like warehousing, ETL, MDM, DQ, BI and analytical tools extensive experience in metadata management and data quality processes More ❯
S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience building large-scale, high-throughput, 24x7 data systems - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience providing technical leadership and mentoring other engineers for best practices on data engineering Our inclusive culture empowers Amazonians to deliver the best results for our customers. More ❯
Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models More ❯
working in Low latency applications Financial background preferable Spark expertise (micro batching, EOD/real time) Python In-memory databases SQL Skills & RDBMS concepts Linux Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) Python , R or equivalent scripting language(s) Excellent Excel Analysis skills Good understanding of Investment Banking data A history of delivering against agreed objectives Ability to multi More ❯
analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those More ❯
science, machine learning, and business analytics Practical experience in coding languageseg.Python, R, Scala, etc.(Python preferred) Strong proficiency in database technologieseg.SQL, ETL, No-SQL, DW, and Big Data technologieseg.pySpark, Hive, etc. Experienced working with structured and also unstructured dataeg.Text, PDFs, jpgs, call recordings, video,etc. Knowledge of machine learning modelling techniquesand how to fine-tunethosemodelseg.XGBoost, Deep Neural Networks, Transformers More ❯
Sales acumen, identifying and managing sales opportunities at client engagements An understanding of database technologies e.g. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. Hadoop, Mahout, Pig, Hive, etc.; An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.; An understanding of cloud technologies e.g. AWS, GCP or Azure A track More ❯
Python (preferred) and C++ Experience working with structured and unstructured data (e.g., text, PDFs, images, call recordings, video) Proficiency in database and big data technologies including SQL, NoSQL, PySpark, Hive, etc. Cloud & AI Ecosystems Experience working with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on More ❯
your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience hiring, developing and promoting engineering talent - Experience communicating to senior management and customers verbally and in writing PREFERRED QUALIFICATIONS - Experience with AWS Tools and Technologies (Redshift More ❯
e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive) - Experience working with data engineers and business intelligence engineers collaboratively - Demonstrated expertise in a wide range of ML techniques PREFERRED QUALIFICATIONS - Experience as a leader and mentor on a More ❯
accountable. These are ourvalues and influence everything we do. Preferred Qualifications Experience with PL/SQL or other database procedural language Experience with Hadoop technologies such as HDFS, Pig, Hive, Impala and management of the Hadoop system. Experience with Azure, AWS, or OCI including their native database services. Experience with Snowflake Experience with Kafka and Elasticsearch Experience with SAS More ❯
R, Matlab, SAS Enterprise Miner Elastic search and understanding of Hadoop ecosystem Experience working with large data sets, experience working with distributed computing tools like Map/Reduce, Hadoop, Hive, Pig etc. Advanced use of Excel spread sheets for analytical purposes An MSc or PhD in Data Science or an analytical subject (Physics, Mathematics, Computing) or other quantitative discipline More ❯
tools to automate profit-and-loss forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You More ❯
Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the Hadoop ecosystem such as Spark, Hive, Impala & Pig - An expertise in at least one specific data science area such as text mining, recommender systems, pattern recognition or regression models - Previous experience in leading a team More ❯
Data Scientist - skills in statistics, physics, mathematics, Computer Science, Engineering, Data Mining, Big Data (Hadoop, Hive, MapReduce) This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation. Responsibilities include: Generating and reviewing large More ❯
Naive Bayes, Random Forests, etc. - Experience with common data science toolkits, such as Python - Proficiency in using query languages such as SQL on a big data platform e.g. Hadoop, Hive - Good applied statistics skills, such as distributions, statistical testing, regression, etc. - Good scripting and programming skills It would be desirable for the successful candidate to come from a Media More ❯
performance management tools. Experience with one or more of the following data tools: Tableau, Foresight, GCP or SQL The other stuff we are looking for Shell scripting, Python, Spark, HIVE, NiFi, Hortonworks/Cloudera DataFlow, HDFS. What's in it for you Our goal is to celebrate our people, their lives and everything in-between. We aim to create More ❯
in Python and SQL Demonstrable hands-on experience in AWS cloud Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.). Apply agile thinking to your work. Delivering in iterations that incrementally build on what went before. Excellent problem-solving and analytical skills. Good written and verbal skills … translate concepts into easily understood diagrams and visuals for both technical and non-technical people alike. AWS cloud products (Lambda functions, Redshift, S3, AmazonMQ, Kinesis, EMR, RDS (Postgres . Apache Airflow for orchestration. DBT for data transformations. Machine Learning for product insights and recommendations. Experience with microservices using technologies like Docker for local development. Apply engineering best practices to More ❯
following would be required: Data modelling- experience delivering physical, logical or conceptual data models Data design- experience developing data warehouses, lakehouses or data lakes Use of tools such as Apache Atlas, Hive Metastore, AWS Glue/Datazone Data standards- experience driving data standards If you are interested in working for a government client on long term data projects More ❯
We are seeking a specialist Kotlin Developer with experience working on Big Data projects in a high-performance environment. We're working with banks and other major financial institutions on projects where microseconds count. Essential functions You will build and More ❯
