Associate Data Engineer

hace 1 semana

Cali, Valle del Cauca, 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, semistructured 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 extracttransformload ("ETL") and/or extractloadtransform ("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 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 handson 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.

  • 2year development using Cloudbased 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 cloudbased 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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