complex business requirements and drive decision-making. Your Skills and Experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, AmazonEMR, Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such More ❯
Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI More ❯
Have: ● Familiarity with data security, privacy, and compliance frameworks ● Exposure to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI More ❯
in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You ll be using your technical skills More ❯
in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You ll be using your technical skills More ❯
Bristol, Avon, England, United Kingdom Hybrid / WFH Options
Aspire Personnel Ltd
in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills More ❯
the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code More ❯
with data frameworks (eg, Spark, Kafka, Airflow) and ETL workflows. Proficiency with SQL and NoSQL databases, including query optimization. Experience with cloud data services (eg, AWS Redshift, S3, Glue, EMR) and CI/CD for data pipelines. Strong programming skills in Python, Java, or Scala. Excellent problem-solving and collaboration skills. Ability to thrive in a fast-paced, dynamic More ❯
requirements into technical architecture. Provide technical leadership and guidance to engineering teams. Required Skills & Experience: Core Technical Expertise Strong hands-on skills in AWS Data Services (S3, Redshift, Glue, EMR, Kinesis, Lake Formation, DynamoDB). Expertise in Apache Kafka (event streaming) and Apache Spark (batch and streaming). Proficiency in Python for data engineering and automation. Strong knowledge of More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (Spark, MapReduce, Hadoop, Hive, EMR, Kafka, Gurobi, or MySQL) 4+ years of experience designing, building and optimizing data pipelines and ETL workflows at scale 4+ years of experience with UNIX/Linux including basic More ❯
SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data More ❯
SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data More ❯
SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data More ❯
