Build, optimize, and drive innovation as a data engineer

OVERVIEW

Data Engineer

As a Data Engineer at Digiblend, you will play a vital role in building and optimizing data infrastructure to drive innovation and empower data-driven decision-making for our clients. Join our dynamic team and shape the future of data at Digiblend while making a significant impact on our clients' success.

REQUIREMENTS

Your skills in list form

• Possession of a bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar capacity.
• Robust programming skills in languages such as Python, SQL, or Java.
• Experience with cloud-based data technologies, for example, AWS, Azure, or Google Cloud.
• Proficiency in data modeling, ETL development, and optimization of data pipelines.
• Familiarity with big data technologies like Hadoop or Spark, as well as different database systems.
• Strong analytical and problem-solving skills with a keen eye for detail.

RESPONSIBILITIES

Your Mission

• Design, construct, and optimize data pipelines and ETL processes to ingest, transform, and store large-scale datasets for our clients.
• Implement and sustain scalable data architectures that support analytics and machine learning initiatives for our clients.
• Collaborate with cross-functional teams to comprehend clients' data needs and safeguard data quality and integrity.
• Monitor and troubleshoot data infrastructure and performance issues for our clients.
• Stay informed about the latest trends and best practices in data engineering and big data technologies.
• Participate in the design and implementation of data governance and security frameworks for our clients.