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Globaldev Group · 4 months ago

Middle Data Engineer

United States

Full-time

Hybrid

Entry, Mid Level

2+ years exp

Globaldev Group is hiring a Middle Data Engineer to build and operate reliable ELT/ETL pipelines on Snowflake and Airflow. The role involves consolidating data from various sources into trusted datasets while ensuring performance and cost efficiency in Snowflake.

DevOpsInformation TechnologySoftware

Responsibilities

Ingest data from RDBMS/APIs/files into Snowflake (batch/incremental; CDC when applicable)

Build modular SQL/Python transformations; handle semi‑structured JSON; publish consumer‑read tables/views

Orchestrate Airflow DAGs (dependencies, retries, backfills, SLAs) with monitoring and alerting

Ensure idempotent re‑runs/backfills; maintain runbooks and perform RCA for incidents

Tune performance and cost in Snowflake (warehouse sizing, pruning; clustering when justified)

Partner with BI/Analytics to refine definitions and SLAs for delivered datasets

Qualification

SQLPythonSnowflakeAirflowData warehousingGit-based CI/CDPrivacy/GDPR basicsClear written English

Required

2–4 years building production ETL/ELT; strong SQL (joins, window functions) + Python for data tooling

Snowflake hands‑on: Streams/Tasks/Time Travel; performance and cost basics; JSON handling

Airflow proficiency: reliable DAGs, retries/backfills, SLAs; monitoring & alert routing

Data warehousing/modeling (Kimball/3NF), schema evolution; API integrations (auth, pagination, rate limits, idempotency)

Git‑based CI/CD; clear written English; privacy/GDPR basics

Preferred

iGaming familiarity: stakes, wins, GGR/NGR, RTP, retention/ARPDAU, funnels; RG/regulatory awareness

AI and automation interest/experience: Snowflake Cortex for auto‑documentation, semantic search over logs/runbooks, or parsing partner PDFs (with guardrails)

Exposure to cloud storage (GCS/S3/ADLS), Terraform/Docker, and BI consumption patterns (Tableau/Looker/Power BI)