Senior Data Engineer

Harken Data; United States; Hybrid; USD 140,000 - 180,000; Full time

Job summary

Harken Data is seeking a Senior Data Engineer to design and optimize data pipelines leveraging AWS, Snowflake, DBT, SQL, and Python. You will build scalable ETL/ELT processes and support BI/analytics initiatives.

Responsibilities include data modeling in Snowflake, data quality checks, governance, and enabling dashboards in Looker, Omni, or Power BI. Remote/hybrid work option with strong collaboration across analytics teams.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of Data Engineering with hands-on AWS/Snowflake experience.
• Strong SQL, Python, and ETL/ELT development skills.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using DBT, Python, and SQL.
• Work with Snowflake for data warehousing, performance tuning, and data modeling.
• Build and manage data infrastructure on AWS, including S3, Glue, Lambda, Redshift, etc.
• Develop and optimize complex SQL queries for data transformation and reporting.
• Collaborate with analytics and business teams to deliver clean and reliable datasets.
• Implement data quality checks, monitoring, and validation frameworks.
• Support BI tools such as Looker, Omni, or Power BI for dashboarding and reporting.
• Ensure adherence to data governance, security, and compliance best practices.

Skills

AWS

Snowflake

DBT

SQL

Python

Looker

Omni

Power BI

Tableau

Education

Bachelor’s degree in Computer Science or Engineering

Tools

DBT

Job description

Senior Data Engineer Snowflake | DBT | AWS

Location: Remote / Hybrid
Preferred Location: Candidates from Delhi/NCR preferred
Experience Required: 5+ Years

Job Overview

We are looking for a skilled and motivated Senior Data Engineer with strong hands‑on experience in AWS, Snowflake, DBT, SQL, and Python. The ideal candidate will be responsible for building scalable data pipelines, optimizing data workflows, and supporting business intelligence and analytics initiatives.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using DBT, Python, and SQL.
• Work with Snowflake for data warehousing, performance tuning, and data modeling.
• Build and manage data infrastructure on AWS, including S3, Glue, Lambda, Redshift, etc.
• Develop and optimize complex SQL queries for data transformation and reporting.
• Collaborate with analytics and business teams to deliver clean and reliable datasets.
• Implement data quality checks, monitoring, and validation frameworks.
• Support BI tools such as Looker, Omni, or Power BI for dashboarding and reporting.
• Ensure adherence to data governance, security, and compliance best practices.

Required Skills

• Strong hands‑on experience with:
  
• AWS – S3, Glue, Lambda, Redshift, or similar services
• Snowflake
• DBT (Data Build Tool)
• Advanced SQL
• Python
• Looker, Omni, Power BI, or Tableau
• Experience building scalable data pipelines and data models.
• Strong understanding of ETL/ELT processes and data warehousing concepts.
• Knowledge of semantic layer / metrics layer concepts.

Preferred Skills

• Experience with data quality, governance, and monitoring tools.
• Familiarity with modern data stack architecture.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of relevant experience in Data Engineering.

Soft Skills

• Strong problem‑solving and analytical skills.
• Good communication and collaboration skills.
• Ability to work independently in a fast‑paced environment.

Nice to Have

• Experience with real‑time data pipelines.
• Exposure to streaming technologies such as Kafka.
• Prior experience working in analytics‑driven environments.