Senior Data Engineer

🕒 March 31

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Zencore

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

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