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Pipeline run

d8652f4c-a3e6-4466-8f55-66a4133e8b69

Pipeline LLM cost (USD)
API 1: $0.0034 API 2: $0.0000 API 3: $0.0000 Total: $0.0034

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work
—
no_db_connection
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 5
· Title match
✓ Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1): —
Frameworks (×2): Replicate
Models / concepts (×3): —
Evidence — skills matched in JD (10)
Python Scala Java Amazon Redshift Amazon EMR Hadoop HDFS Apache Hive SQL ETL Apache Pig
Skill cluster (0 dimension groups, role-scoped)
No dimension groups computed for this JD.
Show KRA description ↓
The Alexa Echo Device Team is looking for a talented, highly motivated Data Engineer to join our Business Intelligence team. We provide actionable business insights that inform future products and services that will power the next generation of Echo and Alexa devices. As a Senior Data Engineer, you will work in one of the world's largest and most complex data warehouse environments. You will work closely with Product Management, Software Development, Data Science, and other Data Engineering teams to develop scalable and cutting-edge analytical solutions, process and store terabytes of low latency structured and unstructured data, and enable the Echo Device team to build successful, data driven strategies. You will be responsible for designing and implementing an analytical environment using third-party and in-house tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up. You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation and dashboarding tools for the end users of our data products and systems. You will work with leading edge technologies like Redshift, EMR, Hadoop/Hive/Pig, and more. You will write scalable, highly tuned SQL queries running over billions of rows of data and will develop learning and training programs to drive adoption of data driven decision making across the Echo and Alexa organization. You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to implement efficient and scalable ETL solutions. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to replicate data from production systems into the BI data store.
Status: jd_deconstruction_v4_done Created: 2026-09-01T16:14:35.458713Z Updated: 2026-09-04T17:45:58.895756Z Run duration: 18349 ms
Flow v4 catalog deconstruction skill_library_v4

1 LLM mention extraction + deterministic catalog sweep

2 Six-layer resolution cascade (exact → alias → fuzzy → embedding → judge → AI-prediction lane)

3 Table-lookup layering: dim_members → role_dim_map tiers, served verbatim

Role Chosen role & resolution

Data Engineer

in_db name family · data-engineer

slug: data-engineer · role_id: 1839a54d-e909-543e-b36e-745551d4e000 · catalog: skill_library_v4 (tiers served verbatim from role_dim_map)

The Alexa Echo Device Team is seeking a Senior Data Engineer to join their Business Intelligence team, focusing on developing analytical solutions for Echo and Alexa devices. The role involves working with a complex data warehouse environment and requires expertise in Python, Scala, or Java for automating ETL processes, as well as proficiency in SQL for managing large datasets. Distinctive requirements include the ability to design complex data models and build reports and dashboards, alongside strong interpersonal skills for collaborating with business stakeholders. The position utilizes technologies such as Redshift, EMR, and Hadoop/Hive/Pig, emphasizing the importance of data-driven decision-making within the organization.

Job description

The Alexa Echo Device Team is looking for a talented, highly motivated Data Engineer to join our Business Intelligence team.
We provide actionable business insights that inform future products and services that will power the next generation of Echo and Alexa devices.
As a Senior Data Engineer, you will work in one of the world's largest and most complex data warehouse environments.
You will work closely with Product Management, Software Development, Data Science, and other Data Engineering teams to develop scalable and cutting-edge analytical solutions, process and store terabytes of low latency structured and unstructured data, and enable the Echo Device team to build successful, data driven strategies.
You will be responsible for designing and implementing an analytical environment using third-party and in-house tools and using Python, Scala, or Java to automate the ETL, analytics, and data quality platform from the ground up.
You will design and implement complex data models, model metadata, build reports and dashboards, and own data presentation and dashboarding tools for the end users of our data products and systems.
You will work with leading edge technologies like Redshift, EMR, Hadoop/Hive/Pig, and more.
You will write scalable, highly tuned SQL queries running over billions of rows of data and will develop learning and training programs to drive adoption of data driven decision making across the Echo and Alexa organization.
You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms.
You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to implement efficient and scalable ETL solutions.
You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to replicate data from production systems into the BI data store.

Skills from this JD

L0–L3 tiers come verbatim from the role's role_dim_map; violet AI GENERATED chips are AI-prediction-lane skills pending review in the queue.

L0 · Anchor 6 skill(s)
Python Programming Languages the craft is exercised in Python and SQL; every owned artifact — transform, DAG, quality check — is authored in them.
Scala Programming Languages the craft is exercised in Python and SQL; every owned artifact — transform, DAG, quality check — is authored in them.
Java Programming Languages the craft is exercised in Python and SQL; every owned artifact — transform, DAG, quality check — is authored in them.
Amazon EMR Data Processing & Pipeline Frameworks transformation engines are where pipeline work physically happens; Spark and dataframe fluency is the single strongest resume signal for the
SQL Programming Languages the craft is exercised in Python and SQL; every owned artifact — transform, DAG, quality check — is authored in them.
ETL Data Processing & Pipeline Frameworks transformation engines are where pipeline work physically happens; Spark and dataframe fluency is the single strongest resume signal for the
L1 · Primary 4 skill(s)
Amazon Redshift Data Warehouses & Query Engines Loading and querying warehouses is daily work — owns_1's conformed outputs land there and collaborates_3 names the partnership — but platfor
Hadoop HDFS Data Lake & Storage Formats Charter owns_3 grants the lake storage layer outright: layout, formats, partitioning, retention.
Apache Hive Data Lake & Storage Formats Charter owns_3 grants the lake storage layer outright: layout, formats, partitioning, retention.
Apache Pig AI GENERATED Data Processing & Pipeline Frameworks TaBuddy AI prediction — not in the skill library yet; placed under Data Processing & Pipeline Frameworks pending admin review.
Consider adding canon exemplars the JD missed

Apache Beam — Data Processing & Pipeline Frameworks (L0)

Prefect — Workflow Orchestration (L0)

Google Cloud Storage — Cloud Platforms (L1)

Airbyte — Data Ingestion & Integration (L1)

Apache Parquet — Data Lake & Storage Formats (L1)

Slowly Changing Dimensions — Data Modeling & Warehouse Design (L1)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Data Engineer
CompanyAmazon
DomainIT Services & Consulting
JD type pass
Show raw JSON
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API 1 — extract-from-jd click to toggle
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          "name": "Apache Pig",
          "origin": "ai_predicted",
          "rationale": "TaBuddy AI prediction \u2014 not in the skill library yet; placed under Data Processing \u0026 Pipeline Frameworks pending admin review."
        }
      ]
    }
  ],
  "unmapped_skills": []
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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