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).
- Robust 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 dat

📌 Sr. Data Engineer (Ahmedabad)
🏢 kanerika software
📍 Ahmedabad