senior Data EngineerBarefoot Ventures Asia, Inc.

Job Description This is an amazing career opportunity for someone who dreams towork on exciting and innovative development projects in a vibrant, generous, friendly, highly collaborative and philanthropic company. This is the perfect career move for Job Description This is an amazing career opportunity for someone who dreams towork on exciting and innovative development projects in a vibrant, generous, friendly, highly collaborative and philanthropic company. This is the perfect career move for someone who is looking for career growth, and skills enhancement in Software Engineering. Company Profile: Our client is a US-headquartered, multinational billion-dollar beauty and personal care company founded in 1984.The company has a commitment to provide quality and innovative products that feature only premium, wholesome ingredients. Their scientific leadership in both skin care and nutrition has established the company as a premier anti - aging company. They are one of the leaders in the market and they are looking to expand their international technology team here in the Philippines. They are currently assembling their pioneering team of IT Professionals and they are in search for a skillful and self-motivated Senior Quality Engineer. Duties and Responsibilities: Build resilient production ETL pipelines with data observability Deploy solutions to production using CICD best practices and infrastructure automation. Build data ingestion jobs using Python from multiple types of data sources - including APIs, relational and NoSQL databases Work closely with business and technical partners to refine pipeline requirements and design data models to support business objectives. Integrate new capabilities into the architecture, including streaming data, new monitoring tools, etc. Help establish and follow a data driven operations culture within the data team. Help establish standard practices for building out scalable solutions, mentor other team members. Help with proof-of-concept implementations for new technologies being tested for the data platform. Ensure data is secure and in compliance with GDPR, CCPA, Data Privacy, and data retention policies. Triage and debug production data issues Must-have Skills / Qualification: BS degree in Computer Science or a related technical field, or equivalent practical experience. Proven domain expertise in at least one area (such as Sales & Marketing, Supply Chain, Finance, Data Science, Analytics). 5+ years of building mid to large scale data systems. 4+ years of using AWS ecosystem tools preferred, including Redshift, S3, EMR, Lambda, Kinesis, ECS, Glue and/or another cloud providers equivalent stack. 4+ years of experience building ETL pipelines and working with Cloud Data Warehouses (such as Redshift, Snowflake, Azure SQL Data Warehouse, BigQuery). Experience working with a streaming platform such as Kafka. . Experience working with Big Data frameworks such as Apache Spark or Flink Experience using Infrastructure as Code tools (Terraform, CloudFormation). 5+ years of experience writing and optimizing SQL. Experience with data modeling for data warehouses. 4+ years of experience working with Python. Professional experience with at least one other programming language (Java, Scala, Go, Ruby, Javascript) 3+ years of experience with ETL tools Informatica, DataStage, SSIS, AbInitio, Talend, Matillion) Experience working with orchestration tools(Airflow, Luigi, Apache Nifi, Step Functions, etc.) Job Type: Permanent Emp Type: Full-time Location: Work From Home Industry: Retail Expertise: Lead/Sr. Fullstack Developer
Monster

Philippines
Permanent
Full-time