AWS Data Engineer (Senior)
Mactores
IndiaremotePosted 1 month ago
Skill Required
Data-EngineeringAWS-Data-EngineerBig-Data-EngineeringETL-DevelopmentData-Pipeline-EngineeringSenior-Cloud-Data-EngineerSenior-AWS-EngineerSenior-DataOps-EngineerSenior-Principal-Data-EngineerData EngineerAWSrelated fieldEngineeringSnowflakeRedshiftbuildingAirflowSparkdesignAgileSassSQLFulltime
Key highlights
- Experience Level: 3+ years with PySpark and SQL
- Remote Work: Fully remote
- Core Tech: Amazon EMR, Glue, Redshift/Snowflake, Airflow
- Role Type: Senior role in Data Platform Modernization
- Education: Bachelor's degree in CS, Engineering, or related field required
- Certification: AWS Data Analytics Specialty preferred
Role overview
Mactores is an agent-native AWS modernization firm focused on shipping production systems, retiring legacy infrastructure, and measuring outcomes. This senior role within the Data Platform Modernization pillar involves consolidating and migrating customer data infrastructure on AWS in weeks rather than quarters, utilizing the Aedeon agent platform to automate repetitive tasks while forward-deployed engineers handle architecture, judgment, and cutover.
Responsibilities
- Build and maintain data pipelines on Amazon EMR or Amazon Glue that run in production.
- Design data models and end-user querying on Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- Build and maintain pipeline orchestration with Airflow.
- Work with customer and internal teams to understand data needs and design the solutions that meet them.
- Troubleshoot and optimize pipelines and data models until they hold up under real load.
- Write and maintain PySpark and SQL scripts to extract, transform, and load data.
- Document and communicate technical decisions to technical and non-technical audiences — customers sign off on what we ship.
- Track new AWS data technologies and judge their impact on the systems we run.
- Embed with the customer's team as part of a forward-deployed model.
- Own outcomes from discovery through production.
- Carry the delivery commitment personally to fixed dates.
- Handle target architecture, data model decisions, pipeline design under real constraints, and the calls that make a cutover safe.
- Own architecture, judgment, and cutover.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience working with PySpark and SQL.
- 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue.
- 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto.
- 1+ years of experience building and maintaining pipeline orchestration using Airflow.
- Strong problem-solving and troubleshooting skills.
- Excellent communication and collaboration skills.
- Ability to work independently and within a team environment.
Nice to have
- AWS Data Analytics Specialty Certification
- Experience with Agile development methodology
Benefits
- The role is fully remote.
- The culture is casual and steers clear of rigid corporate habits.
Additional details
- Most modernization work doesn't ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it.
- Our delivery is built on Aedeon, the agent platform built by Mactores' founders' sister company, which absorbs the repetitive 60–70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against.
- Mactores absorbs overage cost for delays inside our control.
- Aedeon absorbs scale; you absorb judgment.
- Aedeon handles automated source discovery, schema mapping, lineage extraction, and parallel-run validation.
- We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work: 1. Be one step ahead, 2. Deliver the best, 3. Be bold, 4. Pay attention to the detail, 5. Enjoy the challenge, 6. Be curious and take action, 7. Take leadership, 8. Own it, 9. Deliver value, 10. Be collaborative.
- The recruitment process is structured around three distinct stages: 1. Pre-Employment Assessment (evaluations of technical proficiency and suitability); 2. Managerial Interview (multiple discussions, 30-60 minutes each, covering technical skills, experience, leadership, and communication); 3. HR Discussion (30-minute session regarding the offer and next steps).
- Mactores provides equal opportunities in all employment practices. We don't discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This applies to recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs.
- Note: Please answer as many questions as possible with this application to accelerate the hiring process.
- Originally posted on Himalayas
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