Data Engineer

Ready and hungry for a new adventure? You are definitely in the right place!
We at Envision Employment Solutions are always on the look for top talents around the globe and matching them with our partners' hiring needs, to help them build and scale!
Our partners offer awesome work environment, competitive salaries, full benefits, and many others perks.
Our Hiring Process:
1. After filling your online application, our team will review your application and if you are a fit for any of the open positions we have even if it wasn't the one you applied for, our team will reach out to you to schedule an HR Interview.
2. During the call we will go through your resume and discuss the opportunities we have for you in details. We would love to learn a little bit about you, about your work experience and your career's goal. We will also be able to answer any questions you might have.
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Envision Employment Solutions is currently looking for a Data Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services.

Responsibilities:

• Design, implement, and maintain scalable and efficient data architecture to support business requirements.
• Collaborate with stakeholders to understand data needs and provide optimal solutions.
• Develop, test, and deploy ETL (Extract, Transform, Load) processes to move and transform data from source systems to data warehouses.
• Build and optimize data pipelines for the extraction, transformation, and loading of large volumes of data.
• Create and maintain data models, ensuring consistency, integrity, and performance of databases.
• Implement data quality checks and ensure adherence to data governance policies and standards.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide the necessary infrastructure.
• Monitor and optimize the performance of data systems, addressing bottlenecks and ensuring data availability and reliability.
• Maintain clear and comprehensive documentation for data architecture, processes, and workflows.
• Implement and adhere to data security and compliance measures to protect sensitive information.

Requirements:

• Bachelor's/Master's degree in Computer Science, Information Technology, or a related field.
• 4+years of experience in data engineering roles, with a proven track record of designing and implementing data solutions.
• Proficiency in working with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with ETL tools and frameworks (e.g., Apache NiFi, Apache Beam, Talend)
• Strong programming skills in languages such as Python, Java, or Scala.
• Familiarity with big data technologies and frameworks (e.g., Apache Hadoop, Spark).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and experience with cloud-based data services.
• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Benefits:

• Competitive Salary based on experience
• Social and medical insurance
• Learning, development and career progression