#senior #dataengineer
We’re looking for a Senior Data Engineer to join a long-term project. The ideal candidate is highly experienced in building and maintaining scalable data pipelines, cloud infrastructure, and data visualization solutions. You'll work closely with analysts, developers, and business stakeholders to translate business needs into efficient data engineering solutions.
Tech requirements:
-Languages & Tools: Python, SQL, NoSQL
-Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Redshift, RDS
-Cloud & DevOps: AWS (S3, Lambda, Glue, CDK, CloudWatch, IAM, KMS), Docker, Git
-Workflow & Orchestration: Apache Airflow, dbt
-Visualization: Tableau, Power BI, Plotly, Dash
-Data Validation: Great Expectations
Responsibilities:
-Develop and maintain data pipelines and ETLs.
-Support the development and maintenance of data visualization solutions for the developed data products.
-Build and maintain cloud infrastructure for multiple solutions using various AWS services through AWS CDK written in Python.
-Build reusable components for multiple solutions.
-Design, build, and implement data quality checks.
-Gather and translate business requirements into technical requirements.
-Implement Data Engineering best practices.
-Document all developed components.
-Assist in solution architecture design and implementation.
-Build queries to solve analytical questions.
-Ensure information security standards are always maintained.
-Design, build, and maintain robust and scalable data models across various database vendors and types, including SQL and NoSQL.
Remote | CET hours
Part-time | 35 hours/week
Long-term | 1+ year
Language: Upper-intermediate or higher
Salary: 3500-4300 USD
Stages:
Pre-screen call
Internal tech screen with Sloboda Studio
Technical Interview with the client
Final Interview with the client
contact: @vinok92
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 Вакансия, Резюме, Реклама 👉 @jakhongir095
❓Хотите работать на работе с высоким доходом?
Kanal 👉 https://t.me/Exampleuz 👈
Grupa 👉 https://t.me/+yz_2nrX6b2lmZTky
We’re looking for a Senior Data Engineer to join a long-term project. The ideal candidate is highly experienced in building and maintaining scalable data pipelines, cloud infrastructure, and data visualization solutions. You'll work closely with analysts, developers, and business stakeholders to translate business needs into efficient data engineering solutions.
Tech requirements:
-Languages & Tools: Python, SQL, NoSQL
-Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Redshift, RDS
-Cloud & DevOps: AWS (S3, Lambda, Glue, CDK, CloudWatch, IAM, KMS), Docker, Git
-Workflow & Orchestration: Apache Airflow, dbt
-Visualization: Tableau, Power BI, Plotly, Dash
-Data Validation: Great Expectations
Responsibilities:
-Develop and maintain data pipelines and ETLs.
-Support the development and maintenance of data visualization solutions for the developed data products.
-Build and maintain cloud infrastructure for multiple solutions using various AWS services through AWS CDK written in Python.
-Build reusable components for multiple solutions.
-Design, build, and implement data quality checks.
-Gather and translate business requirements into technical requirements.
-Implement Data Engineering best practices.
-Document all developed components.
-Assist in solution architecture design and implementation.
-Build queries to solve analytical questions.
-Ensure information security standards are always maintained.
-Design, build, and maintain robust and scalable data models across various database vendors and types, including SQL and NoSQL.
Remote | CET hours
Part-time | 35 hours/week
Long-term | 1+ year
Language: Upper-intermediate or higher
Salary: 3500-4300 USD
Stages:
Pre-screen call
Internal tech screen with Sloboda Studio
Technical Interview with the client
Final Interview with the client
contact: @vinok92
⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️⭐️
👉 Вакансия, Резюме, Реклама 👉 @jakhongir095
❓Хотите работать на работе с высоким доходом?
Kanal 👉 https://t.me/Exampleuz 👈
Grupa 👉 https://t.me/+yz_2nrX6b2lmZTky