Sr. Data Engineer
Posted 2 days ago by Amtex System Inc.
Negotiable
Undetermined
Remote
Remote
Summary: The Sr. Data Engineer role at Amtex Systems Inc involves leveraging over 5 years of experience in data engineering to build and scale modern data pipelines and models. The position requires advanced proficiency in SQL and Python, along with hands-on experience with tools like Snowflake and Airflow. The ideal candidate will possess strong analytical skills and a commitment to data governance, while also being able to communicate effectively with both technical and non-technical stakeholders.
Key Responsibilities:
- Build and scale modern data pipelines and models.
- Utilize SQL and Python for data transformation, automation, and performance tuning.
- Work independently at a senior level.
- Implement and manage data solutions using Snowflake, dbt, and orchestration tools like Airflow.
- Document and present technical work effectively to engineering teams and business stakeholders.
- Ensure data governance, documentation, and data quality.
- Analyze unstructured data formats such as JSON, Parquet, and Avro.
- Engage with containerization and infrastructure-as-code concepts.
- Contribute to CI/CD workflows and data modeling efforts.
Key Skills:
- 5+ years of experience in data engineering.
- Advanced proficiency in SQL and Python.
- Hands-on experience with Snowflake, dbt, and Airflow.
- Strong knowledge of Fivetran, AWS, and Docker.
- Understanding of data modeling, warehousing, and CI/CD workflows.
- Clear written and verbal communication skills.
- Experience with unstructured data (JSON, Parquet, Avro).
- Exposure to containerization and infrastructure-as-code concepts.
- Healthcare or regulated industry experience preferred.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.
Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.
Sr. Data Engineer
5+ years of experience in data engineering, building and scaling modern data pipelines and models.
Advanced proficiency in SQL and Python for data transformation, automation, and performance tuning.
Deep hands-on experience with Snowflake, dbt, and orchestration tools like Airflow.
Prior Product Experience
Senior level to work independently
Strong knowledge with Fivetran, AWS, and Docker.
Strong understanding of data modeling, warehousing, and CI/CD workflows.
Clear written and verbal communication skills, including the ability to document and present technical work effectively to engineering teams and business stakeholders.
Experience with unstructured data (JSON, Parquet, Avro).
Exposure to containerization and infrastructure-as-code concepts.
Healthcare or regulated industry experience preferred.
What You'll Need to Succeed
Commitment to data governance, documentation, and data quality.
Ownership mindset and accountability for delivering reliable solutions.
Strong analytical and problem-solving abilities with attention to detail.
Adaptable and proactive learner in a fast-evolving technical environment.
Effective communicator with both technical and non-technical stakeholders.