Position: Data Science and Engineering Roles
Company: ApomSolutions
Category: Data Engineer
Experience required: 3y
English level: upper
Published: 2023-07-01T00:00:00+03:00

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.