13 of 13 Amazon EMR Jobs

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 ...

data solutions that meet complex business needs and support informed decision-making. Experience Required: Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, DynamoDB, CloudWatch, SNS and Step Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage ...

experience with Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault • Experience with Delta Lake, Parquet, and data modeling ...

knowledge transfer.Required Experience & Skills 5+ years in data engineering, including leadership or principal-level roles Deep hands-on AWS experience: S3, Redshift, Glue, Lambda, EMR, DMS, IAM, Step Functions Strong experience designing and delivering large-scale data migrations Expert-level Python and SQL Infrastructure-as-Code using Terraform Data ...

/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. ...

many of the following: - Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization ...

data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly to henry.clay ...

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 ...

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). ...

Engineer Skillset: Strong knowledge of ETL pipelines (eg, Informatica/Azure/AWS) AWS Cloud experience Expertise in data pipelines in the cloud (eg, EMR, PySpark) Data processing experience Proficiency in PySpark/Python/ ...

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. ...

improvements and efficiencies. Driving continuous improvement across pipelines, tooling, automation, and release processes. Main Skills Needed: Strong hands-on AWS experience across Redshift, S3, EMR, Lambda and infrastructure-as-code. Demonstrated ability to align with DevOps while maintaining distinct responsibilities within the BI function. Proficient with CI/… tooling such as Jenkins or GitHub Actions. Advanced Python scripting and solid SQL capability. Experience with large-scale data processing (Spark/EMR) and data warehousing concepts. Knowledge of Docker/Kubernetes and containerised deployment workflows. Familiarity with Jira integrations, release management, and environment refresh processes. Skilled in optimising ...

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 ...