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:

- 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 Perks

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.

📌 Data Engineering Lead (Ahmedabad)
🏢 Recognized
📍 Ahmedabad