Data Engineer

hace 5 días

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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