Data Engineer
Kanerika 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).
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
their families 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.
