RandomTrees

We are #hiring for AWS Data Engineer expert to join our team

Job Title: AWS Data Engineer

Experience: 5 Yrs to 10Yrs

Location: Remote

Notice: Immediate or Max 20 Days

Role: Permanent Role

Skillset: AWS, ETL, SQL, Python, Pyspark, Postgres DB, Dremio.

Job Description:

 Able to develop ETL jobs.

Able to help with data curation/cleanup, data transformation, and building ETL pipelines.

Strong Postgres DB exp and knowledge of Dremio data visualization/semantic layer between DB and the application is a plus.

Sql, Python, and Pyspark is a must.

Communication should be good

Job Title: Senior Data Engineer

Experience: 8Yrs to 11Yrs

Location: Remote

Notice: Immediate or Max 1Month

Role: Permanent Role

Skill set: Google Cloud Platform, Big Query, Java, Python Programming Language, Airflow, Data flow, Apache Beam.

Experience required:

5 years of experience in software design and development with 4 years of experience in the data engineering field is preferred.

2 years of Hands-on experience in GCP cloud data implementation suites such as Big Query, Pub Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage, etc.

Strong experience and understanding of very large-scale data architecture, solutions, and operationalization of data warehouses, data lakes, and analytics platforms.

Mandatory 1 year of software development skills using Java or Python.

Extensive hands-on experience working with data using SQL and Python.

Must Have: GCP, Big Query, Airflow, Data flow, Python, Java.

GCP knowledge must

Java as programming language(preferred)

Big Query, Pub-Sub, Data Flow/Apache Beam, Airflow/Composer, Cloud Storage,

Python

Communication should be good.

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.