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 ❯
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 ❯
foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data types and sources. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL and NoSQL). Graph Database Expertise : Deep understanding of graph database concepts, data modeling, and query languages (e.g., Cypher). Demonstrate hands-on 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 ❯
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 ❯
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 ❯
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 ❯
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 ❯
opportunity to work on building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, and search. You will work on Big Data technologies such as AWS, Spark, Hive, Lucene/SOLR, Elastic search etc. You will drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of India Advertising . More ❯
Associate Director, Data Science and Innovation Are you a data science leader passionate about leveraging AI and machine learning to drive innovation in financial markets and transaction banking? Standard Chartered Bank is on an ambitious journey to embed cutting-edge 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 ❯
for a long-term programme with a Public Sector customer of ours. Skills/Experience: Hands-on experience implementing and maintaining metadata repositories and data catalogues using tools like Apache Atlas, Hive Metastore, AWS Glue, and AWS DataZone Experience designing pipelines, data lakes & warehouses Experience designing physical, logical, and conceptual data models to support scalable and maintainable systems. More ❯
for a long-term programme with a Public Sector customer of ours. Skills/Experience: Hands-on experience implementing and maintaining metadata repositories and data catalogues using tools like Apache Atlas, Hive Metastore, AWS Glue, and AWS DataZone Experience designing pipelines, data lakes & warehouses Experience designing physical, logical, and conceptual data models to support scalable and maintainable systems. More ❯
