22 of 22 Spark Streaming Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging … for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience … deploying and managing data solutions. Strong problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: 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 More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: 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 More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: 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 More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: 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 More ❯

Spark - Must have Scala - Must Have hands on coding Hive & SQL - Must Have Note: 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 More ❯

Technical Skills Required Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). Experience with Apache Spark or any other distributed data programming frameworks. Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. Experience with cloud infrastructure like AWS or … Hands-on development experience in an airline, e-commerce or retail industry Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. More ❯

What We're Looking For Strong track record of delivering real-time data pipelines and infrastructure Hands-on experience with distributed data processing using tools like Apache Kafka , Apache Spark Streaming , or Apache Flink Proficient in Python , Java , or Scala Deep understanding of SQL , NoSQL , and time-series databases Proven ability to optimise, troubleshoot, and scale More ❯

What We're Looking For Strong track record of delivering real-time data pipelines and infrastructure Hands-on experience with distributed data processing using tools like Apache Kafka , Apache Spark Streaming , or Apache Flink Proficient in Python , Java , or Scala Deep understanding of SQL , NoSQL , and time-series databases Proven ability to optimise, troubleshoot, and scale More ❯

What We're Looking For Strong track record of delivering real-time data pipelines and infrastructure Hands-on experience with distributed data processing using tools like Apache Kafka , Apache Spark Streaming , or Apache Flink Proficient in Python , Java , or Scala Deep understanding of SQL , NoSQL , and time-series databases Proven ability to optimise, troubleshoot, and scale More ❯

What We're Looking For Strong track record of delivering real-time data pipelines and infrastructure Hands-on experience with distributed data processing using tools like Apache Kafka , Apache Spark Streaming , or Apache Flink Proficient in Python , Java , or Scala Deep understanding of SQL , NoSQL , and time-series databases Proven ability to optimise, troubleshoot, and scale More ❯

What We're Looking For Strong track record of delivering real-time data pipelines and infrastructure Hands-on experience with distributed data processing using tools like Apache Kafka , Apache Spark Streaming , or Apache Flink Proficient in Python , Java , or Scala Deep understanding of SQL , NoSQL , and time-series databases Proven ability to optimise, troubleshoot, and scale More ❯

with evolving priorities. Preferred Qualifications Strong proficiency in SQL, data modeling, relational databases, ETL, and data warehousing. Experience with functional programming and stream processing frameworks (e.g., Flink, Storm, Spark Streaming). Hands-on experience managing high-throughput systems, processing tens of thousands of events per second from multiple sources. More ❯

with evolving priorities. Preferred Qualifications Strong proficiency in SQL, data modeling, relational databases, ETL, and data warehousing. Experience with functional programming and stream processing frameworks (e.g., Flink, Storm, Spark Streaming). Hands-on experience managing high-throughput systems, processing tens of thousands of events per second from multiple sources. More ❯

with evolving priorities. Preferred Qualifications Strong proficiency in SQL, data modeling, relational databases, ETL, and data warehousing. Experience with functional programming and stream processing frameworks (e.g., Flink, Storm, Spark Streaming). Hands-on experience managing high-throughput systems, processing tens of thousands of events per second from multiple sources. More ❯

with evolving priorities. Preferred Qualifications Strong proficiency in SQL, data modeling, relational databases, ETL, and data warehousing. Experience with functional programming and stream processing frameworks (e.g., Flink, Storm, Spark Streaming). Hands-on experience managing high-throughput systems, processing tens of thousands of events per second from multiple sources. More ❯

with evolving priorities. Preferred Qualifications Strong proficiency in SQL, data modeling, relational databases, ETL, and data warehousing. Experience with functional programming and stream processing frameworks (e.g., Flink, Storm, Spark Streaming). Hands-on experience managing high-throughput systems, processing tens of thousands of events per second from multiple sources. More ❯