Data Engineer

The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.

Job Description:

Key Responsibilities

• Design, implement, and deploy enterprise data solutions using cutting-edge cloud-based technologies
• Follow Agile methodologies to release iterative feature sets very rapidly
• Research and introduce new solutions and technologies to the project and stakeholders, provide technical guidance and suggest improvements in development
• Work independently, without guidance, with broader overview on the project
• Coordinate with other teams as part of a larger data-sharing system
• Employ software development best practices such as automated testing, peer code reviews, continuous integration, and continuous delivery
• Translate business requirements and develop technical specifications
• Communicate clearly and document processes
• Perform quality assurance and testing of your work
• Contribute to a collaborative, positive, stimulating, and enjoyable environment for your development team

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems or equivalent experience
• Must have 3+ years of work experience with programming languages, Python Snowflake, Tidal , Linux Command Line/Shells scripting, DMExpress/SyncSort, Korn Shell
• Must have strong database fundamentals including MS SQL, relational and non-relational data models and schema designs, and understanding of database performance implications
• Must have experience leveraging automated tests for code validation and test-driven development
• Must have experience building and deploying products using continuous integration principles
• Must have working knowledge of software engineering and development methodologies, techniques, and tools, including Issue Tracking (like JIRA), code repositories (like Git, Bitbucket) and the Software Development Lifecycle

Required Skills:

• Korn Shell
• SAS
• MS SQL
• Linux Command Line/Shells scripting
• DMExpress/SyncSort
• Tidal
• Python
• Snowflake

Desired Skill:

• Understanding of cloud-based technologies (AWS, GCP or Azure, AWS preferred)

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent