**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