Data Engineer- Technology & Analytics
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Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.
Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!
What are you going to do?
You will have the opportunity to work in a forward-thinking and growth-oriented environment at a leading data analytics company in the cannabis industry.
Occupy a unique position in the market by contributing to our data enrichment and integration projects, improving the quality and speed of our data warehouse operations.
Data modeling within a data warehouse
Data cleansing using SQL, Python, and Bash scripts
Propose and implement data cleansing/enrichment strategies
Implement and monitor a Data Quality framework to ensure the best data quality for our customers
Build new ELT/ETL data pipelines (Python, Bash, SQL, Prefect)
Maintain high-quality code using GitHub and CI/CD with GitHub Actions
Work within AWS and Snowflake to maintain and improve the data infrastructure
What will help you succeed
Experience with ETL and ELT processes.
Expertise in Python for data engineering, including DBT.
Advanced knowledge of SQL, with experience in multiple dialects (ideally Snowflake and Postgres).
Familiarity with data observability, data testing, CI/CD, continuous integration, DataOps, and DevOps
Experience using Prefect for orchestration (Airflow experience is also useful).
Well-versed in AWS services (Lambda, SQS, EC2, S3, ECR, Batch, Glue, IAM).
Data Engineer- Technology & Analytics
To see similar active jobs please follow this link: Remote Development jobs
Truelogic is a leading provider of nearshore staff augmentation services, located in New York. Our team of 500 tech talents is driving digital disruption from Latin America to the top projects in U.S. companies. Truelogic has been helping companies of all sizes to achieve their digital transformation goals.
Would you like to make innovation happen? Have you ever dreamed of building Products that impact millions of users? Nice! Then we have a seat for you on our team!
What are you going to do?
You will have the opportunity to work in a forward-thinking and growth-oriented environment at a leading data analytics company in the cannabis industry.
Occupy a unique position in the market by contributing to our data enrichment and integration projects, improving the quality and speed of our data warehouse operations.
Data modeling within a data warehouse
Data cleansing using SQL, Python, and Bash scripts
Propose and implement data cleansing/enrichment strategies
Implement and monitor a Data Quality framework to ensure the best data quality for our customers
Build new ELT/ETL data pipelines (Python, Bash, SQL, Prefect)
Maintain high-quality code using GitHub and CI/CD with GitHub Actions
Work within AWS and Snowflake to maintain and improve the data infrastructure
What will help you succeed
Experience with ETL and ELT processes.
Expertise in Python for data engineering, including DBT.
Advanced knowledge of SQL, with experience in multiple dialects (ideally Snowflake and Postgres).
Familiarity with data observability, data testing, CI/CD, continuous integration, DataOps, and DevOps
Experience using Prefect for orchestration (Airflow experience is also useful).
Well-versed in AWS services (Lambda, SQS, EC2, S3, ECR, Batch, Glue, IAM).