Offer summary

Qualifications:

5+ years of experience as a data engineer or in a similar role., Advanced SQL skills and experience with relational and non-relational databases., Expertise in Looker dashboard development and administration, along with strong Python skills., Familiarity with cloud platforms such as AWS, GCP, or Azure. .

Key responsibilities:

Design and implement data pipelines using dbt and maintain Looker dashboards.

Integrate data from multiple sources based on business needs and ensure data governance practices are followed.

Collaborate with team members to leverage cutting-edge technologies for data-driven decision making.

Contribute to projects that reshape data analytics for clients, providing them with a competitive advantage.

Job description

At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Data Engineer, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries. If your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! 🚀💻

Minimum Qualifications:

Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role

Advanced SQL skills and experience with relational and non-relational databases

Deep understanding of data warehousing concepts

Extensive experience with dbt (data modeling and transformation)

Expertise in Looker dashboard development and administration

Familiarity with cloud platforms (AWS, GCP, Azure)

Strong Python skills with hands-on experience on Panda, NumPy and other data-related libraries

Strong exposure to write ETL

Proven track record of designing and implementing data pipelines using dbt

Experience building and maintaining Looker dashboards and explores

Familiarity with data governance practices and data security protocols

Experience in Data collection from multiple sources and integrating based on business needs

Core Python, PySpark, Hadoop, MariaDB, SQL - good hands-on for query preparation, Automation skillset, JavaScript & JQuery, Banking/Regulatory reporting domain knowledge would be advantage

Familiarity with the AWS/GCP data engineering services

Knowledge of AWS services viz., S3, Lambda,, GLUE ETL, Athena, RDS, Redshift, EC2

Proficiency in the English language.

Required profile