Data Engineer

Datum Technologies Group

Website: datumtg.com
Job details:

Job Details:

Job Title: Data Engineer with Python

Location: CSIR Road, Chennai || Andheri East, Mumbai || DLF Cyber City, II Gurugram

Hybrid – 2 days Onsite (Thursday/Friday)

Shift Time – 01:00 PM or 02:00 PM IST (UK Shift - Flexible)

Job Description:

Qualifications:

• 8+ years in data management area with a technical competency required.
• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required.

Technical Skills:

• Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).
• Strong proficiency with data manipulation language including optimization techniques.
• Strong understanding of normalized/dimensional data modeling principles.
• Strong knowledge of multiple data storage subsystems.
• Subject Matter Expertise in development languages including: Python, XML, JSON, SQL, HPCC.
• Strong knowledge in Industry data engineering best practices.
• Knowledge in using and developing in applicable toolsets.
• Ability to interface competently with other technical personnel or team members to finalize requirements.
• Ability to work well with internal and external technology resources.
• Knowledge of test-driven development.
• Ability to write and review portions of detailed specifications for the development of complex system components.
• Solid project management skills.
• Understanding of automation/other tools to increase efficiency.
• Strong problem solving and research skills.
• Ability to troubleshoot and resolve process inefficiencies (i.e. bugs) in the repository.
• Strong attention to detail.
• Strong oral and written communications skills.

Accountabilities:

• Perform daily data loads ensuring recurring updates are logged and tracked.
• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
• Write and review portions of detailed specifications for the development of data components.
• Complete complex data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.
• Innovate process improvements that enable efficient delivery and maintenance.
• Successfully implement development processes, coding best practices, and code reviews.
• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
• Identify areas where it is an advantage to work with other teams to improve overall quality, and, with peers or others, implement initiatives improving capabilities and efficiency.
• Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
• Keep abreast of new technology developments.
• Design and works with complex data models.
• Mentor less senior data engineers on methodologies and optimization techniques.
• All other duties as assigned

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