Offer summary

Qualifications:

5+ years of experience in data engineering focusing on analytics and reporting., 2+ years of experience with cloud platforms like Azure, AWS, or GCP., 3+ years of experience in SQL and data transformations across multiple database platforms., Proficiency in scripting languages such as Python or SQL..

Key responsibilities:

Design and build data extraction, transformation, and loading processes.

Write custom data pipelines for efficient data handling.

Perform statistical analysis and troubleshooting across various databases.

Collaborate with teams to enhance data analytics and reporting capabilities.

Job description

Must have :-

5+ years of experience in data engineering with an emphasis on data analytics and reporting.

2+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), others.

3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc

3+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.

2+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other.

Required profile