Senior Data Engineer

Job not on LinkedIn

🕒 March 31

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

What it means: how likely this posting is sitting open without active hiring.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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Zencore

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

💼 Consulting

Artificial Intelligence • Cloud Computing • Consulting

Zencore is a premier Google Cloud consulting and engineering firm founded by a team of former Google engineers and executives. The company specializes in data, AI, and cloud migration services, delivering comprehensive implementation and operational solutions. Zencore is a trusted advisor to some of Google Cloud's largest and most complex clients, helping them to reduce risk and ensure success through tailored plans that maximize value and optimize performance. With expertise in Google Cloud services, Zencore provides solutions in infrastructure modernization, application development, machine learning, and artificial intelligence. Zencore's global reach and boutique model ensure a strong collaborative culture and client-focused approach.

📋 Description

• Design, build, and optimize large-scale distributed data pipelines using Apache Beam / Google Cloud Dataflow, Apache Spark, or Apache Flink. • Develop ETL/ELT workflows on GCP integrating multiple structured and unstructured data sources. • Address schema, type conversion, and performance optimization challenges when migrating data warehouses to BigQuery. • Implement observability, monitoring, logging, and error-handling within pipelines. • Collaborate with Data Analysts to integrate validation rules, QA checks, and automated testing into the pipeline lifecycle. • Support large-scale data migrations and performance tuning for high-volume workloads.

🎯 Requirements

• 4+ years working as a Data Engineer in modern cloud environments. • 2+ years hands-on experience in GCP (BigQuery, Dataflow, Dataform, Composer, Dataproc, Pub/Sub). • Strong experience with distributed data processing frameworks (experience in at least one is required) • Apache Beam / Google Cloud Dataflow • Apache Spark • Apache Flink • Proficiency in Python (pipeline development) • Proficiency in SQL (Oracle + BigQuery dialects ideal) • Experience with Apache Airflow (orchestration) • Experience with big data workloads, batch/streaming pipelines, and large-scale data migrations. • Experience with data warehousing (BigQuery, Snowflake, Databricks a plus).

🏖️ Benefits

• Competitive compensation • Fully remote work • Commitment to a diverse and inclusive workplace