Senior Data Engineer – Contract

🕒 March 31

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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

• As a member of our Data Engineering team, you will be working with fast-paced innovative companies, leveraging Cloud as the key driver of their transformation. • They will look at you as their trusted advisor, someone they can rely on and who will be there to help them along their journey on Google Cloud. • You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, and Streaming Data systems. • NOTE: This role is a 6 month Contract w/ potential of extension

🎯 Requirements

• 5+ years of experience serving as a data engineer or in a comparable engineering capacity • Strong skills with Python or a JVM language (Java, Scala) • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Experience working with cloud data warehouses, specifically BigQuery or +Snowflake • Experience working with data platforms built on public cloud in a production setting. • Experience working with GCP native data toolset is preferred. • Having built ELT or ETL pipelines processing large amounts of data. • Experience with dbt or Airbyte is preferred. • Experience developing production Spark or Hadoop applications • Gained experience with a workload scheduling and orchestration tool such as Apache Airflow/Cloud Composer • Familiarity with modern DataOps (e.g. quality eng, testing, pipeline deployments etc) practices and IaC (e.g. Terraform) • Familiarity with the constellation of tools in the data engineering ecosystem. You should be comfortable picking up and learning a new tool, as well as recommending tools that have served you well. • Experience with batch, micro-batch, and real-time streaming architectures • Good internal and customer-facing communication skills • Experience with relational database management systems and change data capture (CDC) is a plus

🏖️ Benefits

• competitive compensation and benefits