Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.
Zencore is a fast-growing company founded by former Google Cloud leaders, architects, and engineers. We are seeking candidates with significant experience in Google Cloud to join our team. Our engagements aim to eliminate obstacles, reduce risk, and accelerate timelines for customers transitioning to Google and seeking assistance with data and application modernization. We embed within customer teams to provide strategic guidance, facilitate technology decisions, and execute projects in a collaborative, co-development style.
What you will do...
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
Who we need...
- 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
Why work here...
- We are professionals you can Trust. Our people have the extensive experience to get the job done
- We share unbiased opinions and are comfortable with the hard truths. You are the subject matter experts for our customers.
- We are the Missing Link. You will connect our customers to Google and move quickly when others can’t
- We remove uncertainty and risk by clearly outlining the process of cloud migration for our customers
- We accelerate timelines and do not dwell on a challenge. You’ll move faster and expose “unknown unknowns” for our customers
- We show empathy. Our customers believe in us because we can relate to their complexities.
How to succeed...
- First rule at Zencore - Be Kind
- Own the process - own your customer’s success by proactive practices
- Work hard to reach the destination, but make sure to enjoy the journey
- Champion a consistent collaborative culture
- Be receptive to Feedback
- Challenge the Status Quo
We are a fully remote company and offer competitive compensation and benefits.
Zencore is committed to a diverse and inclusive workplace. Zencore is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Similar Jobs
Artificial Intelligence • Information Technology • Machine Learning • Software • Analytics
Design, build, and operate production-scale data pipelines and multi-model data platforms (relational, vector, graph) to serve AI/BI systems. Own architecture, reliability, observability, and mentoring; implement ETL/ELT with Spark, dbt, cloud infrastructure, CI/CD, and IaC.
Top Skills:
AgentsSparkAWSCi/CdDbtDockerGCPJavaKafkaLlmMlModel ServingMySQLNeo4JNeptunePgvectorPineconePostgresPub/SubPythonRagScalaTerraformWeaviate
Information Technology • Consulting
Design and maintain scalable data pipelines and platforms, lead migration from Snowflake to client service, propose improvements, drive initiatives, and collaborate with senior engineers, product/project managers, and data analysts.
Top Skills:
AirflowAws AthenaAws DatalakeAws GlueDbtGCPPysparkPythonQlikSnowflakeSQL
Software • Energy
Own and evolve Enode's data platform and pipelines to support the Flex product: build reliable datasets, ensure data quality and monitoring, enable self-serve analytics, and partner with data science on feature pipelines and model readiness. Drive pragmatic platform improvements, documentation, and tooling to scale data reliability and trust across delivery, billing, and reporting.
Top Skills:
AirbyteBi ToolsDbtElt ToolsLlmsSnowflakeSQL
What you need to know about the Bristol Tech Scene
Along with Gloucester, Swindon and Bath, Bristol is part of the "Silicon Gorge" tech hub, a region in the U.K. renowned for its high-tech and research-driven industries, with a particular emphasis on sustainability and reducing environmental impact. As the European Green Capital, Bristol is home to 25,000 cleantech companies, including Baker Hughes and unicorn Ovo Energy. The city has committed to achieving net-zero emissions within the next decade.
