Senior Data Engineer

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon RedShift, Amazon Simple Storage Service (S3), Apache Airflow, AWS, AWS Glue, Data Biuld Tool - dbt, Database, Management, MySQL, Oracle, Python Programming, Snowflake, SQL

Job Description

Design, implement, and operate stable, scalable, low-cost solutions to flow data from production systems into the data lake and into end-user-facing applications.

Design automated processes for in-depth analysis of databases.

Design automated data control processes.

Collaborate with the software development team to build and test the designed solutions.

Learn, publish, analyze, and improve management information dashboards, operational business metrics decks, and key performance indicators.

Improve tools, and processes, scale existing solutions, and create new solutions as required based on stakeholder needs.

Provide in-depth analysis to management with the support of accounting, finance, and transportation teams.

Perform monthly variance analysis and identify risks & opportunities.

Building data products incrementally and integrating and managing datasets from multiple sources

Basic Qualifications:

BS in Computer Science or related fields 

4+ years of experience as a Data Engineer

3+ years of Experience in SQL and Snowflake

3+ years experience in Python

Good hands-on experience in Airflow and DBT

Experience with AWS Tools and Technologies (Redshift, S3, EC2, Glue)

Expertise with Data modeling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases

Strong customer focus, ownership, urgency, and drive.

Excellent communication skills and the ability to work well in a team.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources. This role can be remote anywhere in India.