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Staff Data Engineer (Spark and Databricks Advanced)

Remote:

Full Remote

Contract:

Full time

Experience:

Expert & Leadership (>10 years)

Work from:

Colombia

Offer summary

Qualifications:

10+ years of experience in data engineering, Expertise in Spark and Databricks, SQL and Data Analysis skills, Strong Python programming skills, Experience with Hadoop ecosystem.

Key responsabilities:

Design and implement ETL processes
Build real-time high-performance Data Lake solutions
Lead projects and teams in analytics
Optimize advanced SQL scenarios
Develop solutions within Cloud Services

Wizeline

1001 - 5000 Employees

See more Wizeline offers

Job description

The Company

Wizeline is a global digital services company helping mid-size to Fortune 500 companies build, scale, and deliver high-quality digital products and services. We thrive in solving our customer’s challenges through human-centered experiences, digital core modernization, and intelligence everywhere (AI/ML and data). We help them succeed in building digital capabilities that bring technology to the core of their business.

Are You a Fit?

To be successful in this role, you must have:

10+ years of experience with large-scale data engineering with an emphasis on analytics and reporting.
Spark and Databricks Advanced.
SQL.
Data Analysis.
Project Leadership skills.
Strong Programming Skills with Python.
Solid experience with Spark.
Airflow.
Solid engineering foundations (good coding practices, good architectural design skills).
Experience working with SQL in advanced scenarios that require heavy optimization.
3+ years of experience developing on Hadoop-like Ecosystem
Experience building cloud-scalable, real-time and high-performance Data Lake solutions.
Proficiency in designing and implementing ETL (Extract, Transform, load) processes, dealing with big volumes of data (terabytes of data which required distributed processing)
Experience developing solutions within Cloud Services (AWS, GCP, or Azure)
Experience with NoSQL databases such as Apache HBase, MongoDB, or Cassandra.
Experience in data streams processing technologies including Kafka, Spark Streaming, etc
Advanced English level.

About Us

Wizeline prioritizes a culture of diversity and development for its nearly 2,000 person team spread across the globe. We believe great technology comes from a mix of talents and perspectives. Our core values of ownership, innovation, community, and inclusivity are central to our work. Wizeline is invested in its employees' growth, offering opportunities to create personalized career paths and develop in-demand skills. We even have a free education program, Wizeline Academy, to help both employees and the broader community upskill in tech.

Apply now!