Sr. Data Engineer
Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 3, 2026.
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 cloudenvironments (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 anddecision-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 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.