Senior Data Engineer
LATAMFull TimePosted Jul 26, 2022
Requirements at a glance
Senior Data Engineer at Zencore is a full-time role based in LATAM. The posting mentions 4+ years of experience. It does not mention visa sponsorship. Key skills include Python, SQL, Google Cloud, and Spark. Applications are submitted through Lever.
- Experience
- 4+ years (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Lever
Skills in this posting
- Python
- SQL
- Google Cloud
- Spark
- Snowflake
- Databricks
Extracted automatically from the job description. Confirm details in the full posting below.
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.
Responsibilities:
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.
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.
Who we need...
Proficiency in: