Description

We are looking for a dedicated Junior Data Engineer to join our team and develop complex data solutions for a diverse range of clients. You will take ownership of project lifecycle activities, utilizing Python, PySpark, and cloud technologies to solve critical business problems. This role requires a consulting mindset to collaborate with team members and ensure effective project delivery.

Key Responsibilities

Develop complex data solutions using Databricks, Python, PySpark, Spark, and Redshift.

Manage project lifecycle activities across multiple client engagements.

Collaborate with cross-functional teams to facilitate project transitions and knowledge sharing.

Create project deliverables including business cases, technical architecture, and test cases.

Provide status reports and maintain transparency with stakeholders throughout project execution.

Support senior delivery leads in managing project tasks and operations.

Required Skills & Experience

Up to 2 years of experience in technology solution delivery and analytics projects.

Hands-on experience with ETL tools such as Databricks, Redshift, Hadoop, Spark, PySpark, Informatica, Talend, or SSIS.

Strong proficiency in SQL and data warehousing principles.

Familiarity with cloud platforms including AWS, Azure, or GCP.

Proven ability to apply analytical techniques to drive business insights and optimize outcomes

Skills
python
sql
data warehousing
gcp
aws
azure
talend
informatica
hadoop
spark
pyspark
databricks
ssis
redshift
 

Key Skills

Education

Any Graduate