governance including GDPR. Bonus Points For Expertise in Data Modelling, schema design, and handling both structured and semi-structured data. Familiarity with distributed systems such as Hadoop, Spark, HDFS, Hive, Databricks. Exposure to AWS Lake Formation and automation of ingestion and transformation layers. Background in delivering solutions for highly regulated industries. Passion for mentoring and enabling data engineering best 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 ❯
little oversight. Experience performing data analytics on AWS platforms. Experience in writing efficient SQLs, implementing complex ETL transformations on big data platforms. Experience with Big Data technologies (Spark, Impala, Hive, Redshift, Kafka, etc.). Experience in data quality testing; adept at writing test cases and scripts, resolving data issues. Experience with Databricks, Snowflake, Iceberg. Preferred qualifications, capabilities, and skills 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 ❯
desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn More ❯
desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn More ❯
desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn More ❯
desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn More ❯
london (city of london), south east england, united kingdom
Management Solutions
desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity, responsibility and strong work ethic. Strong ability to learn More ❯
Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Spark - Must have Scala - Must Have Hive & SQL - Must Have Recent hands-on experience with Scala coding is required. Banking/Capital Markets Domain - Good to have Interview includes coding test. Job Description: Scala/Spark … Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability More ❯
Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Spark - Must have Scala - Must Have Hive & SQL - Must Have Recent hands-on experience with Scala coding is required. Banking/Capital Markets Domain - Good to have Interview includes coding test. Job Description: Scala/Spark … Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability More ❯
Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Spark - Must have Scala - Must Have Hive & SQL - Must Have Recent hands-on experience with Scala coding is required. Banking/Capital Markets Domain - Good to have Interview includes coding test. Job Description: Scala/Spark … Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability More ❯
Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Spark - Must have Scala - Must Have Hive & SQL - Must Have Recent hands-on experience with Scala coding is required. Banking/Capital Markets Domain - Good to have Interview includes coding test. Job Description: Scala/Spark … Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability More ❯
london (city of london), south east england, united kingdom
HCLTech
Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion. Spark - Must have Scala - Must Have Hive & SQL - Must Have Recent hands-on experience with Scala coding is required. Banking/Capital Markets Domain - Good to have Interview includes coding test. Job Description: Scala/Spark … Good Big Data resource with the below Skillset: § Spark § Scala § Hive/HDFS/HQL • Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) • Experience in Big data technologies, real time data processing platform (Spark Streaming) experience would be an advantage. • Consistently demonstrates clear and concise written and verbal communication • A history of delivering against agreed objectives • Ability More ❯
equivalent. Must be proficient in the English language, both written and verbal What makes you uncommon? Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React). Experience with cloud platforms such as AWS, GCP, or Azure. Solid understanding of More ❯
