Position: Data Science and Engineering Roles
Company: ApomSolutions
Category: Data Engineer
Experience required: 3y
English level: upper

Data Science and Engineering Roles

We are seeking talented individuals to join our team for three exciting projects with leading companies in the fashion, retail, and healthcare domains. These long-term projects offer an opportunity to work with cutting-edge technologies and make a significant impact.

    1. Data Scientist

As a Data Scientist, you will be part of a project for an American global fashion company with a customer base of 20,000,000. Your primary task will be to build predictive models using a vast dataset to forecast purchasing behavior. The project utilizes AWS, Sagemaker, XGBoost, and LightGBM. We are looking for a data scientist with expertise in AWS, data pipelines, xgboost, scikit learn, feature extraction, and lightgbm. Your role will involve collaborating directly with stakeholders and working predominantly during EST hours.

Requirements:
    • Strong proficiency in AWS, AWS SageMaker, SQL, and building data pipelines (more 10M records) using AWS
    • In-depth knowledge of data science techniques, including xgboost, scikit learn, feature extraction, and lightgbm
    • Experience in the retail/e-commerce domain, specifically with propensity models, behavior prediction, sales prediction, and promotion impact prediction
    • Ability to work effectively with stakeholders and adapt to EST working hours

    2. Data Engineers

We are looking for skilled Data Engineers to join our team for a long-term project with an American global fashion company. With a customer base of 20,000,000, the project requires expertise in AWS, Redshift, Lambda, and Spark to build and maintain data pipelines. You will play a crucial role in ensuring efficient and scalable data processing.

Requirements:
    • Familiarity with AWS and expertise in building pipelines using RedShift
    • Strong knowledge of Redshift, AWS Glue, Lambda, and Spark
    • Ability to work effectively during EST hours

    3. GCP Data Engineer

We are seeking a strong mid-level GCP Data Engineer to join our team for a long-term project with a Scandinavian chain selling ready-to-assemble furniture. The project involves working with various GCP technologies such as BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Spanner, and Cloud Firestore. You will be responsible for designing, developing, and maintaining data pipelines on GCP.

Requirements:
    • Experience with GCP technologies, including BigQuery, Cloud SQL, Pub/Sub, Cloud Storage, Cloud Spanner, and Cloud Firestore
    • Proven track record of building and maintaining data pipelines on GCP using App Engine, Cloud Functions, Cloud Run, and DataFlow
    • Understanding of DevOps practices and tools for CI/CD pipelines on GCP, such as Cloud Build and Terraform
    • Proficiency in Google IAM and best practices for authentication and authorization
    • Strong expertise in data curation, dimensionality, ETL/ELT techniques, and data modeling
    • Familiarity with programming languages such as Python, Java, and SQL
    • Excellent communication and collaboration skills for effective interaction with cross-functional teams
Join our team and embark on a rewarding journey, working on innovative projects that shape industries and drive meaningful outcomes.