Intermediate Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GitLab

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

💰 Secondary Market on 2020-11

Consulting • Marketing • Artificial Intelligence

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Build, extend, and maintain ELT pipelines from enterprise applications, internal systems, and GitLab's SaaS platform • Integrate data through APIs and event sources such as Snowplow • Manage and maintain SaaS and self-managed data platform infrastructure, including Snowflake, Fivetran, Monte Carlo, Airflow, and Kubernetes • Write maintainable, well-tested, performant Python and SQL code and review merge requests • Triage and resolve failed pipelines, infrastructure issues, and team member requests • Use monitoring, SLAs, data contracts, query and warehouse tuning, and data quality checks to maintain reliability and cost efficiency • Partner with Analytics Engineers, Data Analysts, Data Scientists, Data Governance, and business partners • Use AI coding agents for development, debugging, testing, and documentation • Apply RBAC and masking policies for governed AI data access • Handle SOX-controlled data, MNPI, and personal data safely • Ship medium-sized features independently through iterative merge requests • Document architecture and runbooks in the handbook • Report to the Director, Data Platform

🎯 Requirements

• Professional experience shipping production data pipelines in Python • Deep, hands-on SQL skills and experience with a cloud data warehouse; Snowflake is preferred • Hands-on experience with ELT or ETL pipelines at scale, including incremental loads, schema changes, backfills, and API ingestion • Experience with orchestration tools such as Airflow • Familiarity with dbt • Solid data modeling fundamentals, including Kimball dimensional modeling • Experience running and troubleshooting data infrastructure • Comfort using Git-based workflows, CI/CD, and code review • Hands-on experience using AI coding tools in daily work • Clear written communication • Ability to use GitLab • Comfort working asynchronously in a fully remote organization • Preferred, not required: experience with Snowflake; Docker, Kubernetes, GCP, or Terraform; SaaS application APIs such as Salesforce, Zuora, or Zendesk; data observability tooling; or Snowflake administration

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave

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