Data Engineering Manager

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 
India

Offer summary

Qualifications:

Proven experience in data engineering and team management., Strong understanding of cloud-based data tools and data pipelines., Excellent communication and leadership skills., Bachelor's or higher degree in Computer Science, Data Science, or related field..

Key responsibilities:

  • Lead and mentor the data engineering team to ensure high performance.
  • Collaborate with the Data Architect to develop cloud-based data solutions.
  • Design scalable data pipelines and maintain data quality and security.
  • Oversee project delivery and coordinate with cross-functional teams.

Kanerika Inc logo
Kanerika Inc
201 - 500 Employees
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Job description

Data Engineering Manager 

 

About Kanerika 

Who we are  

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. 

 

Awards and Recognitions 

Kanerika has won several awards over the years, including: 

  • Best Place to Work 2022 by Great Place to Work® 
  • Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today 
  • Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture 
  • Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances. 

 

Working for us 


Kanerika is rated 4.5/5 on Glass door, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika. 

 

Role 

We are seeking an experienced Data Engineering Manager to join our dynamic team. The ideal candidate will collaborate with the Data Architect and lead the data engineering team to build and support cloud-based data tools. You will design scalable data pipelines, develop data models, and ensure data quality, all while adhering to best practices in data management and security. 

 
 
Locations 

We are located in Austin (USA), Singapore, and Hyderabad (India).  

Job Location – Hyderabad, Ahmedabad, Indore, Gurgaon, India. Relocation assistance will be provided for compelling candidates. 

 

We are looking for you! 

 

As an ideal candidate for the Data Engineering Manager position, you embody the qualities of a team player with a relentless get-it-done attitude. Your intellectual curiosity and customer focus drive you to continuously seek new ways to add value to your job accomplishments. You thrive under pressure, maintaining a positive attitude and understanding that your career is a journey. You are willing to make the right choices to support your growth.  

 

In addition to your excellent communication skills, both written and verbal, you have a proven ability to create visually compelling designs that effectively communicate our core values. You build high-performing, scalable, enterprise-grade applications and teams. Your creativity and proactive nature enable you to think differently, find innovative solutions, deliver high-quality outputs, and ensure customers remain referenceable. You prefer to work independently with little to no supervision. You are process-oriented, adopt a methodical approach, and demonstrate a quality-first mindset.  

 

You have led mid to large-size teams and accounts, consistently using constructive feedback mechanisms to improve productivity, accountability, and performance within the team. Your track record showcases your results-driven approach, as you have consistently delivered successful projects with customer case studies published on public platforms. Overall, you possess a unique combination of skills, qualities, and experiences that make you an ideal fit to lead our data engineering team(s). You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, our differences make us stronger, and the finish line is always sweeter when the whole team crosses together. 

 

In your role, you should be driving the team using data, data, and more data. You will manage multiple teams, oversee agile stories and their statuses, handle escalations and mitigations, plan ahead, identify hiring needs, collaborate with recruitment teams for hiring, enable sales with pre-sales teams, and work closely with development managers/leads for solutioning and delivery statuses, as well as architects for technology research and solutions. 

 



Requirements

What you’ll do 

 

Following are high level responsibilities that you will play but not limited to: 

  • Team Leadership: Lead and manage the data engineering team, providing guidance, mentorship, and support to ensure high performance 
  • Collaboration: Work closely with the Data Architect to develop and support cloud-based data tools.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Korean
Check out the description to know which languages are mandatory.

Other Skills

  • Team Leadership
  • Mentorship
  • Creativity
  • Time Management
  • Teamwork
  • Communication
  • Problem Solving

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