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  3. Sr. Data Engineer
Kanerika
Kanerika

Sr. Data Engineer

Hyderabad, Ahmedabad, Indore, India, India
5+ years exp
Full-time
Posted 4d ago
2 views
Actively Hiring Urgent Opening Direct 1-Click Apply

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Job Description

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.

Requirements

Bachelor’s/Master’s degree

in Computer Science, Information Technology, Engineering, or related field.

5-7 years

of experience in Data Engineering.

  • 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 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: - 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: - i. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
  • ii
  • Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

i

  • GMC and Term Insurance: Offers medical coverage and financial protection.

ii

  • Health Insurance: Provides coverage for medical expenses.

iii

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

4\

  • Child Care & Parental Leave Benefits: i. Company-sponsored family events: Creates opportunities for employees and their families to bond.

ii

  • Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.

iii

  • Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

i. Company-sponsored outings: Organizes recreational activities for employees.

ii

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

iii

  • Provident Fund: Helps employees save for retirement.

iv

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

v

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

vi

  • Paid holidays: Gives employees paid time off for designated holidays.

vii

  • Bereavement Leave: Provides time off for employees to grieve the loss of a loved.

6\

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

ii

  • Mentorship Program: Offers guidance and support from experienced professionals.

iii

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

iv. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

v

  • Promote from Within: Encourages internal growth and advancement opportunities.

Key Requirements & Skills

  • Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field.
  • 5-7 years of experience in Data Engineering.
  • 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 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.
  • 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 & Perks

Benefits:

i

  • GMC and Term Insurance: Offers medical coverage and financial protection.

Frequently Asked Questions

How to apply for Sr. Data Engineer at Kanerika?

Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.

What is the salary for this role?

Salary details will be discussed during the interview.

What experience is required?

5+ years of experience is required.

Is this position still open?

Yes, currently active and accepting applications.

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Kanerika

Kanerika

About Us | Kanerika Skip to content Home Products Close Products Open Products FLIP FLIP Use Cases AI Agents Intelligent Workflow Automation Platform Explore FLIP FLIP Navigation Overview Enterprise Workflow Automation Platform Use Cases Enterprise Use Cases Handled by FLIP AI Workforce Suite of Autonomous AI Agents Security & Governance Built for Compliance & Trust Why FLIP Why Choose FLIP Pricing Tiered Packages, Usage-based Fees FLIP Support Calculate Your Migration ROI Now Use Cases AI-governed Reliable Data Flows & Invoice Processing AP Automation Eliminate manual invoice proc

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Sr. Data Engineer

Kanerika · Hyderabad

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