Data Engineer

Data Engineer

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 and AI. We leverage cutting-edge technologies in data

analytics, data governance, AI-ML, GenAI/ LLM 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:

·CMMI Level 3 Appraised in 2024.

·Best Place to Work

2022 & 2023 by Great Place to Work®.

·Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.

·NASSCOM Emerge 50 Award in 2014.

·Frost & Sullivan

India 2021 Technology Innovation Award for its Kompass composable solution

architecture.

·Recognized for ISO

27701, 27001, SOC2, and GDPR compliances.

·Featured as Top

Data Analytics Services Provider by GoodFirms.

Working for us

Kanerika is rated 4.6/5

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 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.

Locations

We are located in

Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Job Location:Hyderabad, Indore and

Ahmedabad (India)

Requirements

About the Role

We are seeking a skilled Data Engineer with strong experience in Databricks, Microsoft Fabric, or Snowflake,

along with Power BI expertise, to design, build, and optimize scalable

data pipelines and analytics solutions. You will also play a key role in

enabling effective data visualization and reporting for business stakeholders.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using

  Databricks, Fabric, or Snowflake.

• Build and optimize data workflows for performance,

  scalability, and cost efficiency in cloud environments (Azure/AWS/GCP).

• Implement and manage data lakes, data warehouses, or

  lakehouse architectures.

• Develop and maintain Power BI dashboards and reports to

  support business insights and decision-making.

• Collaborate with cross-functional teams to define data

  requirements, governance standards, and best practices.

• Ensure data quality, integrity, and security across all

  platforms.

• Automate workflows and support CI/CD deployments for

  data solutions.

• Monitor and troubleshoot pipelines and dashboards to ensure

  high availability and reliability.

Required Qualifications

• Bachelor’s/Master’s degree in Computer Science, Information

  Technology, Engineering, or related field.

• Proven experience as a Data Engineer with expertise in Databricks

  OR Fabric OR Snowflake.

• Hands-on experience with Power BI (data modeling, DAX,

  dashboard creation, performance optimization).

• Strong proficiency in SQL and at least one programming

  language (Python/Scala/Java).

• Experience with data modeling and building scalable

  pipelines in cloud environments.

• Knowledge of Azure, AWS, or GCP and their data

  ecosystem.

• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with streaming data technologies (Kafka,

  Event Hubs, Kinesis).

• Knowledge of Delta Lake, Synapse, or Snowflake performance

  optimization.

• Familiarity with DevOps practices for data (CI/CD, Git,

  Infrastructure as Code).

• Exposure to machine learning pipelines or advanced

  analytics.

• Understanding of data governance, lineage,

  and compliance frameworks

Benefits

Employee Benefits

1.Culture:

a.Open Door Policy: Encourages open communication and accessibility to

management.

b.Open Office Floor Plan: Fosters a collaborative and interactive work environment.

c.Flexible Working Hours: Allows employees to have flexibility in their

work schedules.

d.Employee Referral Bonus: Rewards employees for referring qualified

candidates.

e.Appraisal Process Twice a Year: Provides regular performance evaluations

and feedback.

2.Inclusivity and

Diversity:

a.Hiring practices that promote diversity: Ensures a diverse and inclusive

workforce.

b.Mandatory POSH training: Promotes a safe and respectful work

environment.

3.Health Insurance and

Wellness Benefits:

a.GMC and Term Insurance: Offers medical coverage and financial

protection.

b.Health Insurance: Provides coverage for medical expenses.

c.Disability Insurance: Offers financial support in case of disability.

4.Child Care &

Parental Leave Benefits:

a.Company-sponsored family events: Creates opportunities for employees and

theirfamilies to bond.

b.Generous Parental Leave: Allows parents to take time off after the birth

or adoption of a child.

c.Family Medical Leave: Offers leave for employees to take care of family

members' medical needs.

5.Perks and Time-Off

Benefits:

a.Company-sponsored outings: Organizes recreational activities for

employees.

b.Gratuity: Provides a monetary benefit as a token of appreciation.

c.Provident Fund: Helps employees save for retirement.

d.Generous PTO: Offers more than the industry standard for paid time off.

e.Paid sick days: Allows employees to take paid time off when they are

unwell.

f.Paid holidays: Gives

employees paid time off for designated holidays.

g.Bereavement Leave: Provides time off for employees to grieve the loss of

a loved one.

6. Professional

Development Benefits:

a.L&D with FLEX- Enterprise Learning Repository: Provides access to a

learning repository for professional development.

b.Mentorship Program: Offers guidance and support from experienced

professionals.

c.Job Training: Provides training to enhance job-related skills.

d.Professional Certification Reimbursements: Assists employees in

obtaining professional certifications.

e.Promote from Within: Encourages internal growth and advancement

opportunities.