Were building the future workforce of Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.
Requirements:
Qualifications:
At least 5 years of experience in Big-Data technologies as a data engineer, including ETL /ELT processes and data exploration.
At least 3 years of experience in building end-to-end data pipelines using Spark, Databricks or similar tools is required.
At least 3 years of experience in Python programming and SQL queries. Experience as a backend Developer – advantage.
Team player committed to the success of the team.
Strong verbal and written communication skills with the ability to clearly explain technical concepts.
Excellent debugging, investigating and problem-solving abilities.
Curious learner who loves sharing knowledge and best practices, and can work both independently and in a team.
Ability to thrive in a fast-paced, ambiguous, and changing environment.
Qualifications:
At least 5 years of experience in Big-Data technologies as a data engineer, including ETL /ELT processes and data exploration.
At least 3 years of experience in building end-to-end data pipelines using Spark, Databricks or similar tools is required.
At least 3 years of experience in Python programming and SQL queries. Experience as a backend Developer – advantage.
Team player committed to the success of the team.
Strong verbal and written communication skills with the ability to clearly explain technical concepts.
Excellent debugging, investigating and problem-solving abilities.
Curious learner who loves sharing knowledge and best practices, and can work both independently and in a team.
Ability to thrive in a fast-paced, ambiguous, and changing environment.
This position is open to all candidates.
