Data Engineering Lead

About

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

• 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.

Requirements

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:
• Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.
• Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.
• Enable business analytics and self-service reporting through Power BI and other visualization tools.
• Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.
• Implement and enforce best practices for data governance, data quality, and security.
• Mentor and guide junior data engineers; establish coding and design standards.
• Evaluate emerging technologies and tools to continuously improve the data ecosystem.

What you’ll bring

• Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 8+ years of experience in data engineering or data platform development, with at least 2–3 years in a lead or architect role.
• Strong hands-on experience in one or more of the following:
• Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)

Databricks (Spark, Delta Lake, PySpark, MLflow)

Snowflake (Data Warehousing, Snowpipe, Performance Optimization)

• Power BI (Data Modeling, DAX, Report Development)
• Proficiency in SQL and programming languages like Python or Scala.
• Experience with Azure, AWS, or GCP cloud data services.
• Solid understanding of data modeling, data governance, security, and CI/CD practices.

Benefits

Employee Benefits

1.

Culture

Open Door Policy

Encourages open communication and accessibility to management.

Open Office Floor

Plan: Fosters a collaborative and interactive work environment.

Flexible Working

Hours: Allows employees to have flexibility in their work schedules.

Employee Referral

Bonus: Rewards employees for referring qualified candidates.

Appraisal Process

Twice a Year: Provides regular performance evaluations and feedback.

2.

Inclusivity and Diversity

Hiring practices that

promote diversity: Ensures a diverse and inclusive workforce.

Mandatory POSH

training: Promotes a safe and respectful work environment.

3.

Health Insurance and Wellness Benefits

GMC and Term

Insurance: Offers medical coverage and financial protection.

Health Insurance

Provides coverage for medical expenses.

Disability Insurance

Offers financial support in case of disability.

4.

Child Care & Parental Leave Benefits

Company-sponsored

family events: Creates opportunities for employees and their families to

bond.

Generous Parental

Leave: Allows parents to take time off after the birth or adoption of a

child.

Family Medical Leave

Offers leave for employees to take care of family members' medical needs.

5.

Perks and Time-Off Benefits

Company-sponsored

• outings: Organizes recreational activities for employees.
• Gratuity: Provides a
• monetary benefit as a token of appreciation.
• Provident Fund: Helps
• employees save for retirement.
• Generous PTO: Offers
• more than the industry standard for paid time off.
• Paid sick days: Allows
• employees to take paid time off when they are unwell.
• Paid holidays: Gives
• employees paid time off for designated holidays.

Bereavement Leave

Provides time off for employees to grieve the loss of a loved one.

6.

Professional Development Benefits

• L&D with FLEX-
• Enterprise Learning Repository: Provides access to a learning repository
• for professional development.

Mentorship Program

• Offers guidance and support from experienced professionals.
• Job Training: Provides
• training to enhance job-related skills.

Professional

Certification Reimbursements: Assists employees in obtaining professional

certifications.

Promote from Within

Encourages internal growth and advancement opportunities.