Sr. Data Engineer

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 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:

• 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 one.

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.