and ETL - informatica - Experience in SQL and database management systems - Knowledge of data modelling , warehousing concepts , and ETL processes - Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala. - Demonstrated analytical and problem-solving skills. - Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services - Proactive and detail oriented More ❯
S3, EC2, etc. Experience with coding languages like Python/Java/Scala Experience in maintaining data warehouse systems and working on large scale data transformation using EMR, Hadoop, Hive, or other Big Data technologies Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed Experience with hardware provisioning, forecasting hardware usage, and managing 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 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 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 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 More ❯
london (city of london), south east england, united kingdom
HCLTech
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 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 ❯
Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: Please screen the profile before interview. At least Candidate should know Scala coding language. Pyspark profile will not help here. 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 to multi-task and work under pressure Demonstrated problem solving and decision-making skills Excellent analytical More ❯
