Data Engineer

You will build and maintain data pipelines within the Hadoop ecosystem, owning technical architecture decisions and sprint delivery.

Responsibilities

• Execute sprint stories and deliver tasks within defined timelines and quality standards.
• Define and discuss technical architectures, evaluating pros and cons with the team.
• Participate in brainstorming sessions to suggest improvements to system design.
• Collaborate with team leads and US-based counterparts to review architecture.
• Communicate project status, risks, and issues to all stakeholders.

Required Skills

• 4.5 to 6 years of experience in Data Engineering development.
• Hands-on experience with the Hadoop ecosystem, including HDFS, Hive, and Yarn.
• Strong knowledge of Apache Spark and PySpark.
• Proficiency in Python programming.
• Experience working with Hadoop and Hive.
• Advanced SQL skills.
• Experience with file formats such as Avro and Parquet.

Preferred Skills

• Bachelor's degree in Computer Science, Software Engineering, IT, or a related field.