Associate Data Engineer

Job not on LinkedIn

🔥 13 minutes ago

🇵🇭 Philippines – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TaskUs

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2008

🏥 Healthcare

📦 Logistics

📣 Marketing

💰 Private Equity Round on 2018-08

Healthcare • Logistics • Marketing

TaskUs is a business process outsourcing company that provides digital transformation and technology services to various industries. They offer services including digital customer experience, trust and safety, learning as a service, sales outsourcing, and consulting. TaskUs also specializes in compliance and managing financial crimes, as well as offering AI and data services through their GenAI platform. The company is globally recognized for its high-performance teams, cutting-edge technology, and comprehensive solutions that support industries like entertainment and gaming, financial services, healthcare, social media, retail, and eCommerce.

📋 Description

• Design, develop, and maintain data pipelines and data warehouses for analytics infrastructure • Configure and set up solutions using pre-approved patterns to move data from operational and external environments to the business intelligence environment • Manage data integration and ETL jobs, including consolidation, aggregation, filtering, validation, data quality routines, and dimension creation • Configure and deploy automated jobs using pre-approved reusable patterns • Execute production-level jobs while considering data dependencies, schedules, validation routines, and data stream updates • Design, develop, verify, and continuously optimize data models according to business requirements • Collaborate with technical users to define data requirements and establish business rules • Collaborate with business stakeholders to deliver and enhance the BI platform and provide relevant, accurate insights through new datasets • Perform unit and system integration testing • Conduct peer reviews, assist with testing, and maintain current documentation • Monitor error-handling and logging tools and processes • Troubleshoot configuration and data errors • Monitor performance and raise appropriate flags • Identify opportunities to optimize the ETL environment • Implement monitoring, quality, and validation processes to ensure data accuracy and integrity

🎯 Requirements

• At least 2 years of experience in Data Engineering • Knowledge of Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration • Strong knowledge of data warehousing concepts, including traditional and MPP database designs, star and snowflake schemas • At least 2 years of data modeling experience • At least 2 years of hands-on development experience using ETL tools such as Pentaho, SSIS, Informatica, Talend, Fivetran, or Airflow • Knowledge of the architecture, design, and implementation of MPP databases such as Teradata, Snowflake, or Redshift • 3-year development using cloud-based analytics solutions, preferably AWS or GCP • Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment • Knowledge of database tuning and ETL tuning • Experience using Python in a cloud-based environment preferred • Knowledge of NoSQL databases preferred • Knowledge, experience, and exposure to AI tools preferred but not required • Ability to work effectively across internal functional areas in ambiguous situations • Structured thinking and effective communication • Bachelor's/College Degree in Computer Science, Information Technology, Engineering (Computer/Telecommunication), or 4-8 years of experience in place of a degree • Ability to work 8:00 PM to 5:00 AM PHT, subject to business needs

🏖️ Benefits

• Competitive industry salaries • Comprehensive benefits packages • Wellness support • Inclusive environment • Internal mobility opportunities • Professional growth opportunities • Work from home