14 of 14 Amazon EMR Jobs in England

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

/BSS workflows. Key Responsibilities 1. Data Engineering & ETL Development Design, develop, and maintain ETL/ELT pipelines using AWS-native services (Glue, Lambda, EMR, Step Functions). Implement data ingestion from telecom systems like OSS/BSS, CDRs, mediation systems, CRM, billing, network logs . Optimize ETL workflows … Iceberg Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations. Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark. Ensure high performance for petabyte-scale telecom datasets (CDRs, tower logs, subscriber activity). 4. Querying & Analytics (Athena) Develop and optimize Athena ...

event-level or behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start ...

event-level or behavioural data (web, apps, ads, etc.) Awareness of privacy and governance considerations Familiarity with AWS-based data stacks (S3, Spark/EMR, Athena, Airflow, notebooks) How you'll work Hybrid role, Manchester-based 2 days per week in the office, the rest flexible Flexible start ...

Requirements PySpark (P3): 5+ years of hands-on experience writing scalable, production-grade PySpark/Spark SQL. AWS Data Stack (P3): Strong proficiency in EMR, Glue, S3, Athena, and Glue Workflows. SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of legacy logic for conversion. ...

full end to end continuous deployment pipeline. Major elements of our platform include AWS (we make significant use of S3, RDS, Kinesis, EC2, EMR, ElastiCache, ElasticSearch and EKS). Elements of the platform will start to expand into GCP (Compute Engine, Cloud Storage, Google Kubernetes Engine and BigQuery). ...

hands-on experience. Deep knowledge of Spark optimization (partitioning, tuning) and Data Warehousing (SCDs, Facts/Dimensions). AWS (Expert): Strong proficiency in S3, EMR, Glue, Athena, and IAM. Experience with Git-based CI/CD. SAS (Working Knowledge): Ability to read and debug Base SAS/Macros ...

data (web/app analytics, ads, etc) · Awareness of privacy and governance considerations around behavioural data · Familiarity with AWS based data stacks (e.g. S3, EMR/Spark, Athena, Airflow/Azkaban, notebooks). Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything ...

data (web/app analytics, ads, etc) · Awareness of privacy and governance considerations around behavioural data · Familiarity with AWS based data stacks (e.g. S3, EMR/Spark, Athena, Airflow/Azkaban, notebooks). Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything ...

testing methodologies, and experiment design. Solid background in ranking, recommendation, and retrieval systems. Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.). Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy. Bonus: Experience with geospatial data and advanced analytics platforms. ...

/Tech Lead Manager in a data, platform or backend context · Background in data or backend engineering (e.g. AWS, Python/Scala, Spark/EMR, Airflow or similar) – enough to challenge designs and make informed decisions · Experience owning or supporting analytics/data/reporting products for internal ...

/Tech Lead Manager in a data, platform or backend context · Background in data or backend engineering (e.g. AWS, Python/Scala, Spark/EMR, Airflow or similar) – enough to challenge designs and make informed decisions · Experience owning or supporting analytics/data/reporting products for internal ...

required) Proven experience as a Tech Lead or Lead Data Engineer across data analytics and data engineering domains Strong hands-on experience with: Amazon S3 (data lake patterns, partitioning, lifecycle management) AWS Glue (Jobs, Crawlers, PySpark, orchestration) Amazon Redshift (data modelling, performance tuning, WLM, Spectrum) Advanced … clearly communicate technical trade-offs Experience working in Agile delivery environments Nice to Have: Experience with AWS Lake Formation, Lambda, Step Functions, Athena, EMR, DataBrew Familiarity with data quality, lineage, or observability tooling Knowledge of GDS ways of working and public sector delivery frameworks Experience with privacy-by-design ...