Role :
Junior Data Engineer
Location :
WORK FROM HOME
JOB DESCRIPTION:
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- the selected persons must have basic knowledge about Data Analysis .
- Do you have a strong interest in data and a desire to advance your career in a fast-paced, dynamic setting? In order to collaborate with our Senior Data Engineer to develop and manage our state-of-the-art data infrastructure, Liven is seeking a driven Junior Data Engineer to join our team. This is a rare chance to work directly with cutting-edge tools and technologies, such as Databricks and AWS, and to contribute to significant projects right away.
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What you will do
- Any skills related to the role
- the selected Should have excellent English communication with a decent accent
- Help with the planning, creation, and upkeep of ETL/ELT pipelines while being supervised by the senior data engineer. To expedite data processing, assist in automating workflows and integrating various data sources.
Support the maintenance and optimization of our AWS infrastructure (S3, EC2, RDS, Redshift), ensuring secure and efficient data storage and retrieval.
Help with maintaining Databricks clusters, enhancing Spark job efficiency, and resolving problems to guarantee dependable and seamless data processing.
Participate in the execution of data governance procedures to guarantee the highest levels of data security, quality, and integrity on all platforms.
To deliver clean, trustworthy data for machine learning models, analytics, and business reporting, collaborate closely with data scientists, analysts, and other team members.
Assist in keeping up-to-date, thorough documentation of the architecture, governance procedures, and data pipelines for the team.
Education Required:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience).
Any Graduation
Any stream
Fresher’s
Experienced also
skills
a working knowledge of Spark and other data tools, as well as AWS services (such as S3, EC2, and Redshift) and Databricks.
A basic understanding of SQL and proficiency in Python or Scala programming are required.fundamental knowledge of ETL/ELT procedures and data pipelines.
strong analytical spirit and the capacity to diagnose and fix technical problems in settings involving data processing.
a proactive approach to picking up new skills, especially in data governance, cloud computing, and big data.
Nice to Have
knowledge of business intelligence (BI) tools, such as Looker, PowerBI, or Tableau, to facilitate reporting and data visualisation.
experience in the food and beverage or hospitality sectors, or dealing with data from point-of-sale systems.
a basic understanding of code management and collaboration tools such as Git version control systems.
AWS or Databricks certifications at an introductory level that show
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