Arionkoder

Arionkoder

Arionkoder specializes in co-creating AI-driven digital products and transformative experiences that blend human empathy with advanced technology to enhance business success and drive impactful product development.

Internet Software & Services
51-250
Founded 2019

Description

  • Build and maintain ingestion and ETL pipelines from ERP, CRM, product, operational, and document systems.
  • Design Databricks data lakes and determine whether each source should be ingested, indexed, linked, or queried live.
  • Resolve entity identities across systems and model facts with provenance, validity periods, validation status, and documented exceptions.
  • Create certified tables from approved business definitions and maintain authority rules, lineage, and conflict visibility.
  • Implement Databricks access policies and enforce data isolation across database, API, tool, and application layers.
  • Meet freshness targets while owning data quality checks, observability, dependency tracking, and cost visibility.
  • Build APIs, webhooks, and MCP tools that return deterministic, permission-aware data and log source usage.
  • Collaborate with architects, AI, full-stack, data quality, product, and client platform teams; document and hand over solutions.
  • Use AI tools for SQL, Python, schema mapping, testing, and documentation while reviewing outputs critically.

Requirements

  • 6+ years of professional data engineering experience building production-grade pipelines and data models.
  • 3+ years of hands-on production experience with Databricks, including Unity Catalog.
  • Expertise in SQL and Python; Spark or PySpark experience is a plus.
  • Strong data modeling experience with SCD Type 2, effective dating, temporal validity, provenance, and lineage.
  • Experience with data testing and CI/CD, using dbt tests, Great Expectations, or similar tools.
  • Experience reconciling data across systems through entity resolution or master data management.
  • Experience with CDC, streaming, or incremental processing against freshness targets.
  • Production experience implementing row-level security, column masking, or role-/attribute-based access controls.
  • Experience building APIs or services that serve data.
  • Autonomous senior judgment, strong stakeholder communication, C1 English, and comfort working fully remotely with clients.
  • Daily experience using AI coding tools such as Claude or Cursor, with sound judgment when reviewing generated output.
  • Preferred: MCP or application-facing APIs, multi-tenant isolation, NetSuite or Salesforce, acquired-company consolidation, unstructured content governance, semantic or metrics layers, and data-platform FinOps.

Benefits

  • Monthly USD service fee.
  • 20 business days of paid agreed time off, including annual leave and six local holidays.
  • Caregiver time off.
  • Fully remote work from anywhere.
  • Entrepreneurial work environment.

Interested in this position?

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