Data Engineering Lead

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 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.