Data Engineer

hace 2 semanas

Cali, Colombia TaskUS A tiempo completo

As a Data Engineer, you will:

- You will create new data pipelines, database architectures and ETL processes, you will

observe and suggest what the go-to methodology should be.
- You will be gathering requirements, performing vendor and product evaluations, delivering

solutions, training, and documentation.
- You will also handle the design and development, tuning, deployment, and maintenance of

information, advanced data analytics, and physical data persistence technologies.
- You will establish analytic environments required for structured, semi-structured and

unstructured data.
- You will implement the business requirements and business processes, build ETL

configurations, create pipelines for the Data Warehouse, research new technologies and

build proof-of concepts around them.
- Build and maintain extract-transform-load ("ETL") and/or extract-load-transform ("ELT")

processes for DW and Data Lake.
- You will carry out monitoring, tuning, and database performance analysis.
- You will perform the design and extension of data marts, metadata, and data models.
- You will also ensure all data warehouse architecture codes are maintained in a version

control system.

**Requirements**:

- We need someone who has a Bachelor's degree in Computer Science (have an MBA or

MS degree? That's a plus) or 8-10 years experience in lieu of a degree.
- We need someone who has knowledge of the following: Python, Apache Kafka, AWS

Redshift, AWS Glue, AWS S3, Pentaho Data Integration.
- Must have at least 5 - 6 years of broad information technology experience.
- Strong knowledge of Data Warehousing concepts with understanding of traditional and

MPP database designs, star and snowflake schemas with at least 4-5 years of data

modeling.
- You must have at least 2 years of hands-on development experience using ETL Tools such

as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow.
- Knowledge on the architecture, design and implementation of MPP Databases such as

Teradata, Snowflake or Redshift.
- 2-year development using Cloud-based analytics solutions preferrable AWS or GCP.
- Knowledge of designing and implementing streaming pipelines using Apache Kafka,

Apache Spark, or Segment.
- At least 2 years experience of using Python in a cloud based environment is definitely a

plus. Knowledge on NoSQL DBs is not required but preferred.
- We need someone who has knowledge in Database Tuning and ETL tuning.
- We need someone who has the ability to work effectively across internal functional areas in

ambiguous situations.
- Someone who is a structured thinker and effective communicator.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us

TaskUs is an Equal Opportunity Employer

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