Data Engineering Lead: Cloud ETL & Analytics

Veriipro

Mount Laurel Township (NJ)

On-site

Full time

14 days+

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Job description

We are seeking an experienced Data Engineer Lead to design, develop, and manage scalable data solutions within a cloud-based data platform. The ideal candidate will have strong expertise in ETL development, Azure data services, SQL programming, and large-scale data management. This role requires both hands-on technical expertise and leadership capabilities to guide data engineering initiatives and deliver reliable data solutions for business stakeholders.

Key Responsibilities
  • Lead the design, development, and implementation of data engineering solutions and ETL pipelines.
  • Develop and manage data integration processes using Azure technologies such as Azure Data Factory, Synapse, and Databricks.
  • Establish and maintain cloud connectivity between systems including ADLS, ADF, Synapse, and Databricks.
  • Write and optimize T-SQL queries, stored procedures, and scripts for large-scale data processing.
  • Develop and maintain Python scripts to support data engineering workflows.
  • Design, build, and maintain data marts and large-scale relational databases.
  • Manage and troubleshoot large database environments, ensuring system stability and performance.
  • Implement database security, user access control, and data governance practices.
  • Design and manage database backup, archiving, storage, and capacity planning strategies.
  • Perform performance tuning and optimization for large data environments.
  • Support data extraction, transformation, and loading (ETL) from multiple data sources.
  • Collaborate with business teams to deliver data extraction, reporting, and analytics solutions.
  • Lead technical troubleshooting, testing activities, and issue resolution for data platforms.
  • Mentor team members and provide technical leadership to data engineering teams.
Required Qualifications
  • 10+ years of experience working with large SQL-based data marts and relational databases.
  • 3+ years of experience in a Technical Lead or Team Lead role.
  • Strong experience with ETL frameworks such as Azure Data Factory, Synapse, or Databricks.
  • Advanced expertise in T-SQL programming.
  • Experience with Python scripting for data processing and automation.
  • Extensive experience with database troubleshooting, performance tuning, and support.
  • Ability to work with large volumes of data and deliver efficient data solutions.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
Preferred Qualifications
  • Experience working with financial institution data marts.
  • Knowledge or experience with .NET applications.
  • Experience designing Tableau dashboards and data visualizations.
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