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
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.
Skills Required
- Lead and manage the data engineering team, providing mentorship and performance management
- Design, build, and support cloud-based data pipelines and data models
- Ensure data quality, governance, and security best practices are implemented
- Proven experience leading mid to large-size teams and accounts
- Strong written and verbal communication skills and stakeholder management
- Experience working in Agile environments; manage stories, escalations, and mitigations
- Collaborate with Data Architect and development leads for solutioning and delivery
- Identify hiring needs and work with recruitment for staffing; support pre-sales activities
- Ability to work independently, be process-oriented, and produce high-quality deliverables
What We Do
Established in 2015, we started by recognizing the gap when we identified crucial implementation gaps in the market. While working with a leading technology company, the core team discovered opportunities where our expertise could bridge these gaps, laying the foundation for Kanerika. Dedicated to empowering businesses with cutting-edge technology solutions, we've been on a relentless pursuit to craft efficient, future-ready enterprises, marking our journey with growth and transformative impact milestones About us: - 9+ Years in Business - 6 Offices Across the Globe - 300+ Consultants Worldwide Our Specialization: - Data Analytics - Data Integration - Data Governance - Robotic Process Automation - Generative AI Credentials: - SOC II Compliant - ISO 27001 and ISO 27701 Certified - Microsoft Partner Numbers that Matter: - 99% Client Retention - 95% Customer Satisfaction Rate - 45% YoY Growth Ready to unleash the power of tech in your business? Let's connect! Book a time that works for you here: https://www.kanerika.com/meet
