Associate Data Engineer

hace 2 semanas

Cali, Colombia TaskUS A tiempo completo

**TaskUs Job Description - Associate Data Engineer**

About TaskUs: TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies, helping its clients represent, protect and grow their brands. Leveraging a cloud-based infrastructure, TaskUs serves clients in the fastest-growing sectors, including social media, e-commerce, gaming, streaming media, food delivery, ride-sharing, HiTech, FinTech, and HealthTech.

TaskUs People First culture has grown the company to have approximately 45K employees worldwide. We are currently in twenty-three locations across twelve countries, including the Philippines, India, and the United States.

It started with one ridiculously good idea to create a different breed of Business Processing Outsourcing (BPO) We at TaskUs understand that achieving growth for our partners requires a culture of constant motion, exploring new technologies, being ready to handle any challenge at a moment's notice, and mastering consistency in an ever-changing world.

What can you expect in a "Associate Data Engineer" role with TaskUs:

- 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.

Required Qualifications:

- 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.

Preferred Qualifications:

- Master's degree in a relevant field or advanced certifications in business analytics or data science.
- Prior experience in a business insights or data analysis role, preferably in a similar industry or sector.
- Knowledge of specific domain areas, such as marketing, finance, or operations, relevant to the organization.
- Experience with machine learning techniques and predictive modeling.
- Familiarity with cloud-based data platforms and big data technologies.
- Strong business acumen and the ability to connect data insights to strategic objectives.
- Proven track record of delivering impactful insights and recommendations to drive business growth.

Education / Certifications:

- Bachelor's or Master's degree in a relevant field such as business analytics, data science, statistics, economics, or a related discipline.
- Certifications in data analysis, data science, or related fields (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate).

Work Location / Work Schedule / Travel:

- Remote

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and eq

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