Connecting Odds
Ryz Labs

Data Engineer

Ryz Labs
ArgentinaPosted Discovered via the company's careers siteMatch locked
RemoteContractor5+ years expData Science

About the role

We are looking for a

Senior Data Engineer

to join a high-performing data engineering team at a leading global company operating at the intersection of

sports, technology, and digital commerce

. In this role, you will take ownership of the systems responsible for

ingesting, transforming, validating, and publishing data

across a large-scale data ecosystem. You will work at the data ingestion boundary, where information from multiple internal and external sources enters the platform, ensuring it is accurate, reliable, and ready to power downstream products, analytics, and services. You will be responsible for building and maintaining

scalable data pipelines

, solving complex

identity and entity-matching challenges

, identifying and addressing data-quality issues, and improving the reliability and observability of data flows across the organization. This is a highly hands-on engineering role that combines

AWS data engineering, Python, SQL, event-driven architectures, data quality, and identity resolution

. You will work closely with engineering, product, analytics, and downstream platform teams to troubleshoot complex data challenges, improve existing systems, and build reliable solutions that support data-driven products at scale.

What You'll Do

•

Own and evolve data ingestion pipelines

that bring data from multiple external and internal sources into the platform, including ingestion, cleaning, curation, entity resolution, and event-driven publishing.

  • Design, build, and maintain

scalable batch and event-driven data workflows

using Python, SQL, and AWS.

  • Solve complex

identity resolution, entity matching, and deduplication challenges

across multiple data sources, ensuring reliable and consistent entity mappings.

  • Build and maintain

data quality and validation frameworks

, including freshness monitoring, null-rate and consistency checks, and schema-drift detection.

  • Monitor data at the ingestion boundary and proactively identify, troubleshoot, and resolve issues before they impact downstream products and services.
  • Partner with engineering teams responsible for

event infrastructure and downstream identity services

to trace data and events end-to-end.

  • Collaborate with

Product, Assessments, Analytics, and Engineering

teams to understand how data is consumed downstream and ensure pipelines meet evolving product and business requirements.

  • Work with AWS services such as

Glue, Athena, S3, and DynamoDB

to build and operate reliable, scalable data infrastructure.

  • Automate infrastructure and pipeline changes using

Infrastructure as Code

, primarily Terraform or AWS CDK.

  • Participate in

production incident response

, quickly assessing impact, identifying root causes, and implementing effective remediation.

  • Continuously improve the

reliability, observability, scalability, and maintainability

of data pipelines and platform infrastructure.

What You'll Bring

•

5+ years of experience

building and operating production-grade data pipelines and data infrastructure.

  • Strong experience with both

batch processing and event-driven architectures

.

  • Hands-on experience with

AWS Glue, Athena, and S3-based data lakes

, including layered or medallion-style data transformations.

  • Strong proficiency in

Python and SQL

for data processing, transformation, and analysis.

  • Experience solving

identity resolution, entity matching, and deduplication

problems, including exact and fuzzy matching approaches.

  • Understanding of

durable identifiers and identity-mapping strategies

, including the challenges associated with maintaining consistent first-seen or locked mappings over time.

  • Experience working with

event schemas and schema-registry-backed contracts

, such as Protobuf, and an understanding of the impact of schema evolution on downstream consumers.

  • Strong

troubleshooting and production incident-response skills

, with the ability to assess impact, identify root causes, and drive issues through resolution.

  • Ability to understand and debug code written in a

functional or concurrent programming language

, such as Elixir.

  • Strong communication and collaboration skills, with the ability to work effectively across engineering, product, analytics, and other technical teams.

Nice to Have

  • Experience with

Elixir/Phoenix

or other

BEAM-based concurrent processing frameworks

.

  • Experience with

DynamoDB-backed identity, lookup, or matching services

.

  • Experience with the

Snowflake ecosystem

, including data modeling, Snowpipe, Streams, and Tasks.

  • Experience working with

sports data providers, licensed data providers, or other complex external data ecosystems

.

  • Experience implementing

data observability

, including freshness and staleness alerts, null-rate monitoring, schema-drift detection, and data-quality dashboards.

  • Experience managing infrastructure through

Terraform or AWS CDK

.

Languages

Python, SQL, familiarity with Elixir

AWS

Glue, Athena, S3, DynamoDB

Data & Streaming

Data Lakes, Event-Driven Architecture, Protobuf, Schema Registries

Infrastructure

Terraform, AWS CDK

Data Platforms

Snowflake

Engineering Practices

Data Quality, Data Observability, Identity Resolution, Entity Matching, Incident Response Originally posted on Himalayas

Not included in the source posting: about the role, benefits.

Skills

awselixirpythonsqlterraformsnowflake

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

Read automatically from the employer's posting text. Always confirm with the employer — requirements can change after a job is published.

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