Offer summary

Qualifications:

Proven experience with Databricks, including data engineering, analytics, and machine learning., Strong proficiency in Spark, Python, SQL, and Scala., Experience with cloud platforms such as AWS, Azure, or GCP, and their integration with Databricks., Knowledge of data modeling, data warehousing, and ETL processes..

Key responsibilities:

Develop and maintain data pipelines using Databricks and Spark.

Collaborate with teams to implement data analytics and machine learning solutions.

Work with cloud platforms to ensure seamless data integration.

Participate in problem-solving and optimize data workflows.

Dautom is a prominent name across the globe in comprehensive Salesforce consulting and IT staff augmentation services. With a relentless commitment to innovation and excellence, we empower businesses to optimize their Salesforce ecosystem and bolster their IT teams with top-tier talent. Our mission at Dautom is to empower businesses with the tools and talent they need to thrive in the digital age. We are dedicated to delivering top-quality IT Staff Augmentation services and Salesforce consulting that drive innovation and growth. We have a strong network of more than 100 partner companies across 10+ industries that value people and technology. We offer IT domain experts for permanent, contract and remote staffing. Get in touch with us to hire the best candidates for your IT projects.

Job description

Client Introduction:

In this role, you will have the opportunity to work closely with one of our esteemed clients, known for its commitment to quality and innovation. They have chosen Dautom as their trusted partner for their upcoming projects.

Job Title: Data Engineer- Databricks

Job Description:

Proven experience with Databricks, including data engineering, analytics, and machine learning capabilities.
Strong proficiency in Spark, Python, SQL, and Scala.
Experience with cloud platforms (AWS, Azure, GCP), and understanding of their integration with Databricks.
Knowledge of data modelling, data warehousing, and ETL processes.
Familiarity with machine learning frameworks and libraries.
Excellent problem-solving skills and ability to work in a fast-paced environment.
Strong communication and collaboration skills, with the ability to work effectively in a team.

Benefits and Perks: