Job Title: Data Engineer.

Experience :2-3 Years

Location: REMOTE WORKING - 5 DAYS A WEEK

Mandatory skills: Python, SQL, ETL, Snowflake, AWS , PySpark, Apache Spark.

Qualification:

Bachelor's degree or equivalent experience in Computer Science 

Responsibilities:

1. Manage and optimize data processes, working with large and multi-dimensional datasets.

2. Develop, implement, and optimize complex data transformation ETLs.

3. Design and develop data architectures using Python, PySpark, and Apache Spark.

4. Utilize AWS cloud services in the data domain and/or other technologies such as Snowflake, Dataiku, and Alteryx.

5. Handle On-Prem/Cloud Data warehouse databases.

6. Keep updated with emerging trends in data tools, analysis techniques, and data usage.

Requirements

- Minimum 2-3 years of data engineering experience.

- Proven experience working with Python, PySpark, Apache Spark, and data services on the cloud.

- Strong understanding of data modelling principles; ability to produce, maintain, and update data models as per specific business needs.

- Experience working with various data platforms including Snowflake/Dataiku/Alteryx.

- Knowledge of On-Prem/Cloud Data warehouse databases.

- Technical leadership skills, with a demonstrated ability to lead and deliver projects independently.

Ideal Candidate

Experience with cloud data engineering tools/components/technologies such as AWS Glue, EMR, Azure Data Factory.Continual learning mindset to understand emerging trends in the data science field.