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Data Pipeline Engineer(Remote)_Deepanshi_LM

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

8+ years Data Engineering experience, Bachelor’s Degree in Engineering/Computer Science or equivalent.

Key responsabilities:

  • Act as first point of contact for data engineering issues
  • Collaborate with team to finalize requirements and write specifications
  • Design and execute data management processes to support group goals
  • Resolve data-related issues and lead improvement initiatives
  • Plan and implement testing procedures to assure quality standards
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CodersBrain SME https://www.codersbrain.com/
201 - 500 Employees
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Job description

Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.

Location:  Remote  (Work From Home)
Position: Permanent with Coders Brain Technology Pvt. Ltd.
Notice Period: 20 Days Maximum
Experience- 8 + Yrs
Skill- Data Pipeline

JD-

QUALIFICATIONS:
• 8+ years Data Engineering experience.
• Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent
experience required.
ACCOUNTABILITIES:
• Serve as the initial point of escalation for data engineering issues within specific area of
responsibility.
• Interface with other technical personnel or team members to document, interpret, and
finalize requirements.
• Write and review portions of specifications for the development of data components of
moderate complexity.
• Serve as focal point for requirements drafting, defining and/or gathering as related to projects
within or affecting specific area of responsibility.
• Specialized business support through in-depth data analysis and research.
• Independently design queries to assess data for research purposes.
• Successfully implement and execute data management and analysis processes and
procedures which support group expectations.
• Resolve data issues as necessary within specific functional area or data type.
• Work closely with other technology and business teams to understand moderately complex
business needs and translate into team functions.
• Lead continuous improvement initiatives and implementation of best practices.
• Identify areas for improvement and, with leadership, peers, or others, implement initiatives
improving overall capability and efficiency.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices
such as naming conventions, encapsulation, etc.
• Oversee complex data engineering bug fixes and issues, researching and identifying root
causes as appropriate.
• Successfully implement development processes, coding best practices, and code reviews.
• Identify opportunities to apply existing automation or other tools to meet testing needs.
• Plan testing for delivery of products and enhancements and to assure products meet product
requirements and quality standards, partnering with Product Management, Engineering, and
Operations teams.
• Maintain flexibility to react quickly to changes in priorities or circumstances to meet the
needs of the business.
• Report issues and results, researching and identifying root causes as appropriate,
documenting accordingly.
• All other duties as assigned.


Skills-

 Data pipeline development (Python/Glue)
 Cloud data warehouse solutions like Snowflake
 Advanced SQL

 Data warehousing, data modeling and data transformation
 Solid experience with AWS cloud infrastructure
 Microsoft Data Pipeline experience (SSIS) a plus (not required)

Every Skills Must be 5+ Yrs of Experience Relevant.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Management Consulting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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