Job Description

Grow your career with usHere at Averis, our common purpose is to improve lives by developing resources sustainably. Our people are crucial in helping us to realise our vision to be one of the best Global Business Solution (GBS) organization to support our customers in creating value for the Community, Country, Climate, Customer and Company.Role Summary: A Senior Data Engineer is a highly skilled professional responsible for designing, building, and maintaining robust data architectures and pipelines that enable organizations to efficiently process and analyze large volumes of data. They work closely with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data is readily accessible and reliable. Proficient in programming languages such as Python, Java, or Scala, as well as data processing frameworks like Apache Spark or Hadoop, they excel in optimizing data workflows and implementing ETL (Extract, Transform, Load) processes.Responsibilities:Key Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines.
• Develop, implement, and maintain ETL (Extract, Transform and Load) processes to collect, clean, and store data from various sources.
• Optimize and enhance existing data pipelines for better performance, scalability, and reliability.
• Ensure data quality and integrity through data validation, monitoring, and error handling.
• Troubleshoot and resolve data-related issues in a timely manner.
• Collaborate with data scientists and analysts to provide them with the necessary data sets and tools to perform advanced analytics and reporting.
• Implement data security and privacy best practices to protect sensitive information.
• Stay updated with the latest trends and technologies in data engineering and contribute to the continuous improvement of our data infrastructure.

Requirements:Skills & Qualifications:

• Bachelor\'s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
• 5+ years of experience in data engineering or a related role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with data warehouse technologies (e.g., AWS Redshift, Google BigQuery, Snowflake).
• Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache NiFi).
• Knowledge of database systems (SQL and NoSQL) and data modeling.
• Familiarity with data integration and orchestration tools (e.g., Apache Airflow).
• Understanding of data security and compliance standards
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong attention to detail and a commitment to delivering high-quality work.
• Experience with version control systems (e.g., Git).
• Certification in relevant data engineering technologies.

When you send us your resume and personal details, it is deemed you have provided your consent for us to keep or store your information in our database. All the information you have provided is only used for the recruitment process. Averis will only collect, use, process or disclose personal information where and when allowed to under applicable laws.
Only shortlisted candidates will be contacted for an interview. We endeavour to respond to every applicant. However, if you receive no response from us within 60 days, please consider your application for this specific position unsuccessful. We may contact you in the future if there are opportunities that match your qualifications and experience. Thank you for considering a career with Averis.

Averis