Immediate Opening for Data Engineer

Aspire Systems Digital Private Limited; Ernakulam; Vor Ort; INR 1.800.000 - 2.800.000; Vollzeit

Zusammenfassung

Aspire Systems Digital Private Limited is seeking a Senior Data Engineer in Kerala. You will design and maintain scalable ETL/ELT pipelines using Python, SQL, and dbt, and own end-to-end data workflows.

Bring 5–7 years of data engineering experience, solid dbt production exposure, and strong data modeling skills. You will collaborate with cross-functional teams to deliver trusted, business-ready data and mentor junior teammates.

Qualifikationen

• Bachelor’s or Master’s degree, or equivalent professional experience.
• 5–7 years of data engineering experience with strong Python and SQL skills.
• At least 1 year of production experience with dbt.
• Strong understanding of data modeling.

Aufgaben

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and dbt.
• Build and manage dbt models, tests, macros, snapshots, incremental models, and deployments.
• Develop and optimize data models in Snowflake, Redshift, or similar data warehouses.
• Implement data quality checks, testing, monitoring, and pipeline reliability practices.
• Optimize SQL queries and warehouse performance for efficiency and scalability.
• Manage data orchestration, pipeline dependencies, and end-to-end data workflows.
• Collaborate with cross-functional teams to deliver trusted, business-ready data.
• Take ownership of deliverables, troubleshoot production issues, and mentor junior team members.

Kenntnisse

Python

SQL

dbt

Ausbildung

Bachelor’s or Master’s degree

Tools

Snowflake

Redshift

Jobbeschreibung

Aspire Systems Digital Private Limited

0484 4061901
[e-mail]

Immediate Opening for Data Engineer

We are looking for an experienced Senior Data Engineer with 5–7 years of experience in data engineering, strong Python and SQL skills, and hands-on production experience with dbt. The role involves building and maintaining scalable data pipelines, developing reliable data models, optimizing warehouse performance, and ensuring data quality across modern data platforms.

Roles & Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python, SQL, and dbt.
• Build and manage dbt models, tests, macros, snapshots, incremental models, and deployments.
• Develop and optimize data models in Snowflake, Redshift, or similar data warehouses.
• Implement data quality checks, testing, monitoring, and pipeline reliability practices.
• Optimize SQL queries and warehouse performance for efficiency and scalability.
• Manage data orchestration, pipeline dependencies, and end-to-end data workflows.
• Collaborate with cross-functional teams to deliver trusted, business-ready data.
• Take ownership of deliverables, troubleshoot production issues, and mentor junior team members.

Required Qualifications

• Bachelor’s or Master’s degree, or equivalent professional experience.
• 5–7 years of data engineering experience with strong Python and SQL skills.
• At least 1 year of production experience with dbt.
• Strong understanding of data modeling,