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Aws Emr Engineer Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). • Data Modeling:

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

Position: Programmer Analyst 6 Location: Lansing, MI 48933 Minimum Education Level: Bachelor ... using AWS services such as Amazon S3, Glue, Lambda, EMR, Redshift, Kinesis, and SageMaker

All JobsAws Emr Engineer JobsAws Emr Engineer Jobs in Michigan

Aws Emr Engineer information

What is an AWS EMR engineer?

AWS EMR Engineers are professionals who specialize in designing, implementing, and managing big data solutions using Amazon Web Services Elastic MapReduce (EMR). They work with large-scale data processing frameworks like Apache Hadoop, Spark, and Hive on the AWS EMR platform to help organizations analyze and process vast amounts of data efficiently. These engineers are responsible for setting up EMR clusters, optimizing performance, ensuring data security, and integrating EMR with other AWS services. Their expertise helps companies leverage cloud-based data analytics for business insights and decision-making.

What are some common challenges AWS EMR engineers face when optimizing big data workflows?

AWS EMR Engineers often encounter challenges related to scaling clusters efficiently, managing costs, and ensuring job reliability. Balancing compute resources to avoid over-provisioning while meeting performance needs can be tricky, especially with varying data volumes and workloads. Additionally, troubleshooting Spark or Hadoop job failures and tuning configurations for optimal performance require a deep understanding of both cloud infrastructure and big data frameworks. Collaboration with data scientists and analysts is also key to align technical solutions with business requirements.

What are the key skills and qualifications needed to thrive as an AWS EMR engineer, and why are they important?

To thrive as an AWS EMR Engineer, you need expertise in big data analytics, Hadoop ecosystem tools, and cloud computing, usually backed by a degree in computer science or related field. Familiarity with AWS services like EMR, S3, IAM, as well as scripting languages such as Python or Scala, and relevant certifications (e.g., AWS Certified Data Analytics) are typically required. Strong problem-solving, communication, and collaboration skills help you work effectively in cross-functional teams and troubleshoot complex data workflows. These skills ensure efficient data processing, secure cloud operations, and successful project delivery within modern data-driven organizations.

What is the difference between Aws Emr Engineer vs Data Engineer?

AspectAws Emr EngineerData Engineer
CertificationsAWS certifications, especially AWS Certified Data Analytics or Solutions ArchitectGenerally includes certifications like Google Cloud Professional Data Engineer or Microsoft Azure Data Engineer, but AWS certifications are common
Work EnvironmentPrimarily cloud-based, focusing on AWS services like EMR, S3, and GlueCan be cloud, on-premises, or hybrid, working with various data storage and processing tools
ResponsibilitiesDesigning, deploying, and managing big data processing on AWS EMRBuilding and maintaining data pipelines, data warehouses, and ETL processes across platforms

While both roles involve big data processing, Aws Emr Engineers specialize in managing AWS EMR clusters and related services, whereas Data Engineers have a broader scope across multiple platforms and tools. The Aws Emr Engineer role is more cloud-specific, focusing on AWS infrastructure, while Data Engineers work across diverse environments to ensure data availability and quality.

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Aws Emr Engineer jobs near you

Data Engineer (AWS, Snowflake, Pyspark, SQL)

Centraprise

Auburn Hills, MI • On-site

$113K - $135K/yr

Full-time

Re-posted 24 days ago

Job description

Job Description:
Must Have Technical/Functional Skills
• Programming Languages: Proficient in SQL, Pyspark, Python
• Data Pipeline & ETL: Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, AWS EC2, EMR, S3, dbt, Azure Data factory
• Database Management: Expertise in data warehousing solutions like Snowflake or Redshift, Databricks
• Cloud Platforms: Working knowledge of cloud providers (AWS) is essential.
• Data Modeling: Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization tools
• Data Governance & Security: Implementing data encryption, masking, and role-based access control.
• Problem-Solving & Troubleshooting: Identifying bottlenecks in data workflows and creating scalable, robust solutions.
• Collaboration: Working with data scientists and analysts to understand business needs and deliver actionable data.
• Version Control: Using tools like Git for managing code for data pipelines.
Roles & Responsibilities
• Designing and implementing through data architecture strategies
• Analyzing complex issues to create innovative solutions
• Upholding standards in project deliverables
• Developing a thorough understanding of the business environment
• Managing and navigating complex scenarios effectively
• Building and maintaining excellent client relationship
• Enhancing personal brand and technical skills
• Mentoring and guiding junior team members
• Implementing end to end solutions catering to the business requirements
Generic Managerial Skills, If any
• Track the deliverables assigned and deliver on time with great quality
• Participation in Scrum calls and sprint planning and agile ceremonies
• Offshore coordination

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