Position: Data Management Sn. Architect
Company: Amgrade
Category: Data Engineer
Experience required: 5y
English level: upper
Published: 2023-03-01T00:00:00+02:00

For more than 10 years we have been successfully implementing bold ideas and projects of our clients in the American and European markets.
Productive management, diverse projects, the opportunity to develop and the atmosphere in which you want to work!

AMgrade is a full cycle outsourcing company that brings together only the best web and application developers, business analysts, designers and marketing specialists.

We are looking for a Data Management Sn. Architect.
Objective to manage the design and architecting of Data Management, Schemas, Data collection, consolidation,
correlation, classification, labeling, mining, modeling, clustering of different Data sources within Og, Partners,
sensors and public domain into Og Data Lake, in order to serve larger purpose of Data collection, processing,
Population, Analysis Reports, segmentation and Sales reports, External ETL data systems, to achieve
organizational goals of structured & unstructured data, SQL and Non-SQL Data along with Object base Data).
Having an experience in Apache Kafka, Distributed Data Architecture deployment, from design to
implementation.

Education & Qualifications: Experience:
• Experience with a variety of database technologies
such as Apache Kafka, MySQL, MongoDB, and
HADOOP, CASSANDRA operating in large scale
environments.
• Write scripts and utilities to monitor, manage, and
maintain databases. Experience with scripting;
PHP, python, JavaScript or bash programming.
• Experience with data access and ETL Layer

System skills required:
Hands on Tools such as; Dash and plotly, Kafka Stream, power bi, Qlickview, airflow, Postgres , mssql and
Hive, HDFS , hive , sqoop , zeppline, spark, Sqoop, oozie & Spark

Soft skills:
1. Good Communication skills and teamwork
2. Problem-solving skills, Methodical and logical approach.
3. The ability to analyze, model and interpret data.
4. English - Upper

In turn, we offer:
— High wages;
— Comfortable working environment;
— Friendly team and management;
— The position provides for remote employment;
— Work on interesting projects.