Senior Data Engineer - Technology

Full-time
Latin America
Posted 1 year ago
Go ad-free with Premium ×
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

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,

Occupy a unique position in the market, As a Senior Data Engineer, you’ll have a key role in building and designing the strategy of our finance analytics engineering team under the Enterprise Data Engineering group.

Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more.

  • Building, and continuously improving our data gathering, modeling, reporting capabilities, and self-service data platforms.

  • Working closely with Data Engineers, Data Analysts, Data Scientists, Product Owners, and Domain Experts to identify data needs

What will help you succeed

  • 8+ years of experience as a Data/BI engineer.

  • Experience developing data pipelines with Airflow or equivalent code-based orchestration software

  • Strong SQL abilities and hands-on experience with SQL and no-SQL DBs, performing analysis and performance optimizations.

  • Hands-on experience in Python or equivalent programming language

  • Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake)

  • Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, and Athena.

  • Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation, and maintenance.

Go ad-free with Premium ×
About the Job
Full-time
Latin America
Posted 1 year ago
Check if your resume is a good fit
25/100
Get Full Report
+ 1,284 new jobs added today
30,000+
Remote Jobs

Don't miss out — new listings every hour

Join Premium

Senior Data Engineer - Technology

The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

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,

Occupy a unique position in the market, As a Senior Data Engineer, you’ll have a key role in building and designing the strategy of our finance analytics engineering team under the Enterprise Data Engineering group.

Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more.

  • Building, and continuously improving our data gathering, modeling, reporting capabilities, and self-service data platforms.

  • Working closely with Data Engineers, Data Analysts, Data Scientists, Product Owners, and Domain Experts to identify data needs

What will help you succeed

  • 8+ years of experience as a Data/BI engineer.

  • Experience developing data pipelines with Airflow or equivalent code-based orchestration software

  • Strong SQL abilities and hands-on experience with SQL and no-SQL DBs, performing analysis and performance optimizations.

  • Hands-on experience in Python or equivalent programming language

  • Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake)

  • Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, and Athena.

  • Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation, and maintenance.