Starts at $800.00 / Negotiable
Full Time
Jan 02, 2020

Job Overview

Company Profile

Posh Peanut Children’s Boutique was born at the beginning of 2011 all thanks to one woman’s deep creative passion. It all began because of genuine love for children, children’s clothing and an inventive excitement needing to be fulfilled.

Posh Peanut is committed to providing fashion-forward, excellent quality and adorable children’s clothing & accessories as well as serving our customers with above satisfactory customer service. Every single item found on our site is carefully examined before shipment to ensure your purchase is loved by both the peanut and their family. Posh Peanut truly understands a mother’s love and we take all appropriate actions to measure up to that specific love.


  •  Implement, verify, design, and maintain software system

  •  Build data architecture for ingestion, processing, and surfacing of data for large-scale applications

  • Extract data from one database and load it into another

  • Use many different scripting languages, understanding the nuances and benefits of each, to combine systems

  • Research and discover new methods to acquire data, and new applications for existing data

  • Work with other members of the data team, including data architects, data analysts, and data scientists


  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Strong analytic skills related to working with unstructured datasets.

  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

  • Strong project management and organizational skills.

  • Experience supporting and working with cross-functional teams in a dynamic environment.

  • We are looking for a candidate with 2+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

      • Experience with big data tools: Hadoop, Spark, Kafka, etc.

      • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

      • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

      • Experience with AWS cloud services: EC2, EMR, RDS, Redshift

      • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

      • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Employment Details 

  • Employment Type: Full-Time Position 

  • Work Schedule: 8 hours per day that is flexible on PST and PHT (Monday to Friday)

  • Salary: depending on experience and qualification

  • This is a home based position and we prefer Metro Manila and Philippine applicants only


Skills Required

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