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

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

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