Data Engineering Lead
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:
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Best Place to Work 2022 by Great Place to Work®
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Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today
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Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture
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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
As a Data Engineering Lead, your role will involve designing, developing, and implementing interactive dashboards and reports using data engineering tools. You will work closely with stakeholders to gather requirements and translate them into effective data visualizations that provide valuable insights. Additionally, you will be responsible for extracting, transforming, and loading data from multiple sources into Power BI, ensuring its accuracy and integrity. Your expertise in Power BI and data analytics will contribute to informed decision-making and support the organization in driving data-centric strategies and initiatives.
We are looking for you!
As an ideal candidate for the Data Engineering Lead 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 using tools like Power BI and Tableau 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. With over eight years of experience in data engineering, you possess a strong sense of self-motivation and take ownership of your responsibilities. 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.
What you’ll do
Following are high level responsibilities that you will play but not limited to:
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Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.
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Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.
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Enable business analytics and self-service reporting through Power BI and other visualization tools.
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Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.
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Implement and enforce best practices for data governance, data quality, and security.
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Mentor and guide junior data engineers; establish coding and design standards.
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Evaluate emerging technologies and tools to continuously improve the data ecosystem.
What you’ll bring
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Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.
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8+ years of experience in data engineering or data platform development, with at least 2–3 years in a lead or architect role.
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Strong hands-on experience in one or more of the following:
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Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)
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Databricks (Spark, Delta Lake, PySpark, MLflow)
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Snowflake (Data Warehousing, Snowpipe, Performance Optimization)
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Power BI (Data Modeling, DAX, Report Development)
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Proficiency in SQL and programming languages like Python or Scala.
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Experience with Azure, AWS, or GCP cloud data services.
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Solid understanding of data modeling, data governance, security, and CI/CD practices.
Employee Benefits
1. Culture:
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Open Door Policy: Encourages open communication and accessibility to management.
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Open Office Floor Plan: Fosters a collaborative and interactive work environment.
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Flexible Working Hours: Allows employees to have flexibility in their work schedules.
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Employee Referral Bonus: Rewards employees for referring qualified candidates.
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Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
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Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
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Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
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GMC and Term Insurance: Offers medical coverage and financial protection.
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Health Insurance: Provides coverage for medical expenses.
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Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
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Company-sponsored family events: Creates opportunities for employees and their families to bond.
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Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
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Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
5. Perks and Time-Off Benefits:
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Company-sponsored outings: Organizes recreational activities for employees.
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Gratuity: Provides a monetary benefit as a token of appreciation.
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Provident Fund: Helps employees save for retirement.
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Generous PTO: Offers more than the industry standard for paid time off.
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Paid sick days: Allows employees to take paid time off when they are unwell.
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Paid holidays: Gives employees paid time off for designated holidays.
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Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
6. Professional Development Benefits:
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L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
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Mentorship Program: Offers guidance and support from experienced professionals.
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Job Training: Provides training to enhance job-related skills.
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Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
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Promote from Within: Encourages internal growth and advancement opportunities.
