Senior Data Engineer
Role: Lead Data Engineer with DBT
Location: Lake Mary, Florida (Onsite).
About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary:
We are looking for a highly skilled Senior Data Engineer with a strong background in DBT, ETL processes, and SQL/RDBMS to join our growing data team. The ideal candidate will have at least 8 years of experience in data engineering, including a minimum of 2 years working with DBT. Exposure to Python, Cloud Data Services, Spark, and Big Data technologies is a plus. This role requires excellent technical skills, strong communication abilities, and a collaborative mindset.
Key Responsibilities:
• Design, develop, and maintain scalable and efficient data pipelines using DBT and other ETL tools.
• Work with various RDBMS systems to extract, transform, and load data into structured formats.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver reliable data solutions.
• Optimize data workflows for performance, scalability, and maintainability.
• Ensure data quality and consistency across the pipeline.
• Utilize tools such as Spark, Python, and Cloud Data Services (e.g., AWS, GCP, or Azure) for data processing and transformation.
• Participate in code reviews, documentation, and technical discussions.
• Contribute to best practices in data engineering, governance, and DevOps.
Required Skills and Qualifications
• 8+ years of experience as a Data Engineer, including 2+ years of hands-on experience with DBT.
• Proven expertise in ETL tools, RDBMS, and strong SQL development.
• Proficient in designing and building data pipelines and workflows.
• Experience with Python and Big Data ecosystems (e.g., Hadoop, Spark).
• Familiarity with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse, etc.)
• Strong problem-solving and analytical skills.
• Excellent verbal and written communication skills.
• Ability to work effectively in a collaborative, fast-paced environment.
Why Join Us:
• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
Role: Lead Data Engineer with DBT
Location: Lake Mary, Florida (Onsite).
About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking & financial services, healthcare, supply chain & logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you’re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary:
We are looking for a highly skilled Senior Data Engineer with a strong background in DBT, ETL processes, and SQL/RDBMS to join our growing data team. The ideal candidate will have at least 8 years of experience in data engineering, including a minimum of 2 years working with DBT. Exposure to Python, Cloud Data Services, Spark, and Big Data technologies is a plus. This role requires excellent technical skills, strong communication abilities, and a collaborative mindset.
Key Responsibilities:
• Design, develop, and maintain scalable and efficient data pipelines using DBT and other ETL tools.
• Work with various RDBMS systems to extract, transform, and load data into structured formats.
• Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver reliable data solutions.
• Optimize data workflows for performance, scalability, and maintainability.
• Ensure data quality and consistency across the pipeline.
• Utilize tools such as Spark, Python, and Cloud Data Services (e.g., AWS, GCP, or Azure) for data processing and transformation.
• Participate in code reviews, documentation, and technical discussions.
• Contribute to best practices in data engineering, governance, and DevOps.
Required Skills and Qualifications
• 8+ years of experience as a Data Engineer, including 2+ years of hands-on experience with DBT.
• Proven expertise in ETL tools, RDBMS, and strong SQL development.
• Proficient in designing and building data pipelines and workflows.
• Experience with Python and Big Data ecosystems (e.g., Hadoop, Spark).
• Familiarity with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse, etc.)
• Strong problem-solving and analytical skills.
• Excellent verbal and written communication skills.
• Ability to work effectively in a collaborative, fast-paced environment.
Why Join Us:
• Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
• Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
• Competitive compensation & benefits, ESOPs and international assignments.
• Supportive environment with healthy work-life balance and a focus on employee well-being.
• Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
