Data Engineer

Key Responsibilities

• Data Architecture: Create and maintain robust data pipelines and architectures to process and analyze large volumes of data.
• ETL Processes: Develop Extract, Transform, Load (ETL) pipelines to streamline the movement of data across systems.
• Integration: Work with diverse data sources, ensuring seamless integration into a unified platform.
• Performance Optimization: Enhance system performance and ensure data is accessible and reliable.
• Collaboration: Partner with data scientists, analysts, and business teams to deliver impactful insights and solutions.

What We Look For

• Strong proficiency in programming languages such as Python, Scala, or Java.
• Experience with SQL and NoSQL databases and big data tools like Hadoop or Spark.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• A problem-solving mindset with a focus on delivering scalable and efficient solutions.
• A passion for data and its role in driving business success.

At Peakly, Data Engineers are not just technical experts; they’re innovators who harness the power of data to unlock new opportunities and drive impactful results. Join us to be at the forefront of data transformation!