Support Engineer, LMAQ-DE
Listed on 2026-02-20
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IT/Tech
Data Engineer, Cloud Computing
The Last Mile Org focuses on technology, products, and programs that enable the efficient, safe, and customer-friendly delivery of packages. The DE team within LMAQ builds and maintains the data ecosystem comprises scalable data infrastructure, data pipelines, datasets and tools for Geospatial, Hub, DTO and Safety Orgs. The BIE, Tech, Product, Program teams of these orgs use this ecosystem to generate reporting, analyses, deep dives that create roadmap for last mile products and processes.
The data engineering support role focus on providing on-call support, troubleshooting and investigating tickets, conducting root cause analyses, and improving operational health. They are also responsible for fixing issues, communicating with stakeholders, and proactively monitoring alarms and metrics to ensure the overall health of the services they support.
Monitor Amazon Redshift clusters, identify long-running queries, and optimize them to maintain cluster performance and ensure healthy operational state
- a. Continuously monitor Glue, Airflow, Lambda, Redshift, Spark, EMR and Kinesis jobs.
- b. Identify failures, performance degradation, or bottlenecks in real time.
- a. Diagnose issues in extraction, transformation, loading, schema mismatches, and data quality.
- b. Perform impact analysis and apply immediate fixes.
- a. Own the end-to-end on-call rotation, respond to Pager Duty alerts, and restore systems within SLA.
- b. Work directly with data engineering teams to resolve critical incidents.
- a. Perform RCA for every major incident.
- b. Document findings and propose long-term preventive solutions.
- a. Validate accuracy, completeness, freshness, lineage, and schema consistency.
- a. Optimize inefficient SQL (Athena/Redshift/Presto/Spark).
- b. Tune warehouse performance, resolve WLM queue issues, and reduce compute cost.
- a. Manage Glue Catalog, partition refresh, schema evolution, table permissions, and lineage.
- b. Ensure smooth integration between S3, Glue, Athena, Redshift, and Lake Formation.
- a. Assist in promoting ETL jobs, model code, and pipeline configurations through CI/CD.
- b. Validate deployments and perform rollback when necessary.
- a. Work with BI teams, analysts, PMs, and upstream/downstream owners.
- b. Provide data accessibility support & answer data troubleshooting queries.
- a. Maintain playbooks, runbooks, troubleshooting guides, and data dictionaries.
- b. Ensure knowledge transfer and training for new team members.
- 2+ years of scripting language experience
- Strong SQL and debugging skills
- AWS (S3, Glue, EMR, Lambda, Redshift, Athena)
- Strong Python and Pyspark skills
- Understanding of data modelling, ETL, and batch/streaming pipelines
- Experience with version control and CI/CD (Git, Code Pipeline)
- Good communication for stakeholder-facing troubleshooting
- Good to have GenAI Skillset, but not mandatory
- Experience with AWS, networks and operating systems
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