What are the responsibilities and job description for the Data Engineering Lead position at Thinking Minds Inc.?
Job Details
Summary:
Location: Northern New Jersey
Experience: 6 years in Data Engineering, 2 years in leadership
Job Type: Permanent
Ideal Candidate Should Have:
Strong experience in Python (5 years), SQL (5 years), AWS (3 years)
Expertise in ETL/ELT pipelines, data warehousing (Redshift, Postgres), and Airflow
Experience leading a team of Data and BI engineers, fostering collaboration
Ability to design and optimize data architecture and cloud infrastructure
Strong knowledge of data governance, compliance, and security best practices
Passion for data quality, software engineering best practices, and innovation
Experience with BI tools like Looker and analytics-driven data integration
Excellent communication and stakeholder management skills
Job Description:
Thinking Minds Inc.'s client is seeking a Data Engineering Lead to drive the development, optimization, and scalability of their data services and infrastructure. This hands-on leadership role requires deep technical expertise and the ability to mentor a team, ensuring high-performance data solutions for business intelligence, analytics, and application features.
Key Responsibilities:
Data Architecture & Engineering:
Lead the design, implementation, and maintenance of scalable ETL/ELT pipelines and data warehousing solutions.
Ensure high-quality, efficient, and scalable data services using Airflow and AWS.
Collaborate with engineering teams to integrate data solutions into product features.
Leadership & Team Management:
Manage a team of Data and BI Engineers, providing mentorship and fostering a results-driven environment.
Oversee data expenses and optimize cost efficiency in cloud infrastructure.
Develop and report on KPIs related to data engineering performance.
Technical Excellence & Best Practices:
Serve as a hands-on contributor in Python, SQL, and AWS-based data engineering projects.
Maintain and improve data quality standards, implementing robust testing and monitoring.
Conduct code reviews to ensure high-quality engineering practices.
Business Intelligence & Data Integration:
Work closely with BI teams and analysts to support reporting and analytics using Looker.
Make application data accessible for business insights and decision-making.
Cloud Optimization & Security:
Partner with DevOps to enhance cloud performance and scalability while optimizing costs.
Maintain compliance with data governance, security best practices, and licensing agreements.
Continuous Improvement & Innovation:
Stay updated with the latest data engineering technologies and trends.
Propose and implement innovative solutions for improving data efficiency.
Preferred Qualifications:
Experience with AWS Glue, AWS Athena, AWS RDS Aurora
Familiarity with Snowflake or Google Cloud Platform BigQuery
Working knowledge of Kubernetes and Docker
This is an exciting opportunity for a passionate data leader to shape and scale a growing data infrastructure while working in a fast-paced, collaborative environment.
Location: Northern New Jersey
Experience: 6 years in Data Engineering, 2 years in leadership
Job Type: Permanent
Ideal Candidate Should Have:
Strong experience in Python (5 years), SQL (5 years), AWS (3 years)
Expertise in ETL/ELT pipelines, data warehousing (Redshift, Postgres), and Airflow
Experience leading a team of Data and BI engineers, fostering collaboration
Ability to design and optimize data architecture and cloud infrastructure
Strong knowledge of data governance, compliance, and security best practices
Passion for data quality, software engineering best practices, and innovation
Experience with BI tools like Looker and analytics-driven data integration
Excellent communication and stakeholder management skills
Job Description:
Thinking Minds Inc.'s client is seeking a Data Engineering Lead to drive the development, optimization, and scalability of their data services and infrastructure. This hands-on leadership role requires deep technical expertise and the ability to mentor a team, ensuring high-performance data solutions for business intelligence, analytics, and application features.
Key Responsibilities:
Data Architecture & Engineering:
Lead the design, implementation, and maintenance of scalable ETL/ELT pipelines and data warehousing solutions.
Ensure high-quality, efficient, and scalable data services using Airflow and AWS.
Collaborate with engineering teams to integrate data solutions into product features.
Leadership & Team Management:
Manage a team of Data and BI Engineers, providing mentorship and fostering a results-driven environment.
Oversee data expenses and optimize cost efficiency in cloud infrastructure.
Develop and report on KPIs related to data engineering performance.
Technical Excellence & Best Practices:
Serve as a hands-on contributor in Python, SQL, and AWS-based data engineering projects.
Maintain and improve data quality standards, implementing robust testing and monitoring.
Conduct code reviews to ensure high-quality engineering practices.
Business Intelligence & Data Integration:
Work closely with BI teams and analysts to support reporting and analytics using Looker.
Make application data accessible for business insights and decision-making.
Cloud Optimization & Security:
Partner with DevOps to enhance cloud performance and scalability while optimizing costs.
Maintain compliance with data governance, security best practices, and licensing agreements.
Continuous Improvement & Innovation:
Stay updated with the latest data engineering technologies and trends.
Propose and implement innovative solutions for improving data efficiency.
Preferred Qualifications:
Experience with AWS Glue, AWS Athena, AWS RDS Aurora
Familiarity with Snowflake or Google Cloud Platform BigQuery
Working knowledge of Kubernetes and Docker
This is an exciting opportunity for a passionate data leader to shape and scale a growing data infrastructure while working in a fast-paced, collaborative environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
