Senior Data Engineer / Technical Lead

SIMARN Solutions

Connecticut

On-site

USD 140,000 - 210,000

Full time

9 hours ago
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Job summary

Simarn Solutions seeks a Senior Data Engineer / Technical Lead to join a long-term cloud data solutions project. You will design scalable data pipelines, drive data products with Databricks and PySpark, and ensure governance and security across data flows.

The role requires extensive experience in data engineering, cloud platforms (Azure or AWS), and leadership to mentor teammates and collaborate with architects and stakeholders.

Qualifications

  • 8+ years of IT experience.
  • 6+ years of Data Engineering experience.
  • Kafka / Event Hub / Kinesis / SNS.
  • Azure or AWS Cloud.
  • ETL Development & Data Warehousing.

Responsibilities

  • Design and develop scalable data pipelines and ETL processes.
  • Build data products using Databricks, PySpark, and DBT.
  • Ensure data quality, governance, and security standards.
  • Provide technical leadership and mentor team members.
  • Collaborate with architects and business stakeholders.

Skills

Data engineering
Technical leadership
Mentoring
Architectural design
Cloud platforms

Tools

Azure Databricks
PySpark
Python
ADF
SQL
Kafka
Kinesis
Event Hub
SNS
DBT

Job description

We're Hiring: Senior Data Engineer / Technical Lead

Are you a highly experienced Data Engineer with expertise in Azure Databricks, PySpark, Python, ADF, SQL, and Kafka? We're looking for a strong senior-level consultant to join a long-term project focused on building scalable cloud data solutions.

Required Skills:
  • 8+ years of IT experience
  • 6+ years of Data Engineering experience
  • Kafka / Event Hub / Kinesis / SNS
  • Azure or AWS Cloud
  • ETL Development & Data Warehousing
Nice to Have:
  • DBT
  • Data Mesh / Data as a Product
  • Immuta
  • API Management
  • Multi-Cloud Integration Experience
Key Responsibilities:
  • Design and develop scalable data pipelines and ETL processes
  • Build data products using Databricks, PySpark, and DBT
  • Ensure data quality, governance, and security standards
  • Provide technical leadership and mentor team members
  • Collaborate with architects and business stakeholders
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