Description

You will design and maintain data pipeline architectures to process large, complex datasets from diverse sources.

This role is on-site.

Responsibilities

• Build and optimize extraction, transformation, and loading (ETL) infrastructure using SQL and Azure technologies.
• Implement process improvements, including automation and infrastructure re-design for scalability.
• Develop analytics tools and data pipelines to provide insights into customer acquisition and operational efficiency.
• Create specialized data tools for data scientists and analytics teams to support product optimization.
• Maintain and optimize data visualization solutions using Power BI.

Required Skills

• 4+ years of experience in a Data Engineer role.
• Proficiency in Python, Java, C++, or Scala.
• Hands-on experience with Azure Databricks and Azure Data Lake.
• Experience with big data tools including Hadoop, Spark, and Kafka.
• Expertise in Power BI for data visualization and analytics.
• Experience with relational SQL and NoSQL databases such as Postgres and Cassandra.
• K knowledge of workflow management tools like Airflow, Luigi, or Azkaban.

Preferred Skills

• Experience with stream-processing systems such as Storm or Spark-Streaming.
• Graduate degree in Computer Science, Statistics, Informatics, or a related quantitative field.

Key Skills

Education

Any Graduate