Data Engineer

We are looking for a talented and experienced Data Engineer to join our Data & Analytics team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data pipelines and infrastructure. The ideal candidate will have a passion for leveraging data to drive business impact, strong technical skills, and experience with modern data technologies.

Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and analysis.
Collaborate with stakeholders, analysts, and product teams to understand business requirements and translate them into technical solutions.
Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based data services like AWS Lakeformation, Glue and Athena.
Optimize data pipelines for performance, reliability, and cost-efficiency.
Ensure data quality, integrity, and security throughout the data lifecycle.
Stay current with emerging technologies and best practices in data engineering and analytics.
Mentor early in career engineers and contribute to a culture of continuous learning and improvement
Comfortable working in fast paced environment, self starter and self organizing
Participate in on-call rotation
Ability to think strategically, analyze and interpret market and consumer information

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering, software development, or a related field.
Strong proficiency in programming languages such as Python, Java, or Scala.
Strong experience with big data technologies such as Spark, Kafka, Hive, and distributed computing frameworks.
Expert in Database fundamentals, SQL and distributed computing
Experience with AWS technologies at scale
Solid understanding of data modeling, data warehousing, and ETL processes.
Excellent problem-solving and analytical skills.
Strong verbal & written communication skills, with the ability to work effectively in a cross-functional team environment.