Zencore company logo

Databricks, Senior Data Engineer

ZencorePosted 3/3/2025

Zencore logo

Databricks, Senior Data Engineer

Zencore

Job Location

BrazilChileColombiaCosta RicaCubaEcuadorEl SalvadorFrench GuianaGuadeloupeBelizeArgentinaPanamaParaguayPeruNicaraguaPuerto RicoSaint-BarthélemySurinameVenezuela (Bolivarian Republic)Dominican RepublicBoliviaGuatemalaMartiniqueMexicoUruguaySaint-Martin (French part)GuyanaHaitiHonduras

Job Summary

Zencore is seeking an experienced Senior Data Engineer with expertise in Google Cloud and Databricks. The ideal candidate will have 5+ years of experience in data engineering, 2+ years of experience working with Databricks, and a strong understanding of the Databricks tech stack. They should be proficient in Python, PySpark, Spark SQL, Delta Lake technology, and Spark Structured Streaming. As a trusted advisor to customers, they will work on large-scale projects, leveraging Databricks to accelerate timelines and remove risk. With a focus on collaboration, empathy, and proactive practices, Zencore aims to provide exceptional customer experiences. The company values trust, unbiased opinions, and a drive to improve. By joining the team, you'll have opportunities for growth, flexible remote work options, and $4,000/year travel stipends.

Job Description

Zencore is a fast growing company founded by former Google Cloud leaders, architects and engineers. We are looking for candidates that have significant experience with Google Cloud to join our team. Our engagements are designed to unblock, remove risk and accelerate timelines for customers that are migrating to Google or need help with data and application modernization.  We embed into customer teams to help with strategy, technology decisions and co-development style execution.
What you will do...
As a member of our Data Engineering team, you will be working with fast paced innovative companies, leveraging Databricks 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 Databricks. You will be expected to cover a large spectrum of technology topics like ETL/ELT, Data Warehousing, Distributed Data Processing, Streaming Data systems, Data Modeling, Data Security & Governance, and BI/AI.

Who we need...

    • 5+ years of experience serving in a data engineering capacity
    • 2+ years of experience working with Databricks
    • Preferred candidates will have the Databricks’ Data Engineer Associate or Data Engineer Professional certification
    • Familiarity with the Databricks tech stack related to data engineering: notebooks, clusters, jobs, workflows, serverless sql, unity catalog, repos, dashboards, DLT, etc.
    • Experience developing production Spark applications
    • Strong skills with Python, PySpark and Spark SQL
    • Strong understanding of Delta Lake technology and best practices to apply its capabilities during the data pipeline development lifecycle
    • Experience with Spark Structured Streaming and Databricks Delta Live Tables (DLT)
    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
    • Understanding of incremental update patterns and technologies available on Databricks such as CDC, SCD#2, autoloader, change data feed (CDF), DLT, Delta Lake ACID, etc.

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

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