Senior Data Engineer

Job highlights

• Develop solution architecture to extract,transform and load data and other required solution to answer business questions,be responsible for end to end data management .

Responsibilities:

• Interface with clients to understand high level as well as detailed project requirements and understand business problems.
• Develop solution architecture to extract, transform and load data and other required solution to answer business questions, be responsible for end to end data management
• Manage client communication and meetings, documentation and other processes.
• Generate and communicate insights and project results to client, seek and incorporate feedback.
• Lead and manage team members.
• Should have hands-on experience in one or more of the followings:
• Programming in Python, Java, JavaScript, PHP, Ruby, R etc
• Frameworks and libraries like Pandas, Numpy, SQLAlchemy, Spark etc.
• Data ETL tools like Talend, Alteryx etc.
• Management and operation on databases like MySQL, PostgreSQL, MS SQL, MongoDB, Cassandra, Neo4j etc.
• Cloud platforms like Amazon Web Services (EC2, Glue, Athena, RDS, Redshift etc.), Google Cloud Platform (BigQuery, Cloud SQL etc.), MS Azure (ADF, Azure SQL etc.)
• Working with REST and SOAP APIs.

Desired Candidate Profile:

• Ability to lead a team and manage projects independently.
• Eye for detail, passion for accuracy.
• Great analytical and problem-solving skill.
• Ability to adapt and thrive in a fast paced and demanding environment of a young start-up.