Kanerika Software - Data Engineering Lead/Architect

Description :

What You Will Do :

- Lead the design, development, and implementation of modern data pipelines, data models, and ETL/ELT processes.

- Architect and optimize data lake and warehouse solutions using Microsoft Fabric, Databricks, or Snowflake.

- Enable business analytics and self-service reporting through Power BI and other visualization tools.

- Collaborate with data scientists, analysts, and business users to deliver reliable and high-performance data solutions.

- Implement and enforce best practices for data governance, data quality, and security.

- Mentor and guide junior data engineers; establish coding and design standards.

- Evaluate emerging technologies and tools to continuously improve the data ecosystem.

Required Qualifications :

- Bachelor's degree in computer science, Information Technology, Engineering, or related field.

- Bachelors/master's degree in computer science, Information Technology, Engineering, or related field.

- 8+ years of experience in data engineering or data platform development, with at least 2- 3 years in a lead or architect role.

- Strong hands-on experience in one or more of the following :

1. Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)

2. Databricks (Spark, Delta Lake, PySpark, MLflow)

3. Snowflake (Data Warehousing, Snowpipe, Performance Optimization)

4. Power BI (Data Modeling, DAX, Report Development)

- Proficiency in SQL and programming languages like Python or Scala.

- Experience with Azure, AWS, or GCP cloud data services.

- Solid understanding of data modeling, data governance, security, and CI/CD practices.

Preferred Qualifications :

- Familiarity with data modeling techniques and practices for Power BI.

- Knowledge of Azure Databricks or other data processing frameworks.

- Knowledge of Microsoft Fabric or other Cloud Platforms.

What we need ?

- B. Tech computer science or equivalent.

Why join us ?

- Work with a passionate and innovative team in a fast-paced, growth-oriented environment.

- Gain hands-on experience in content marketing with exposure to real-world projects.

- Opportunity to learn from experienced professionals and enhance your marketing skills.

- Contribute to exciting initiatives and make an impact from day one.

- Competitive stipend and potential for growth within the company.

- Recognized for excellence in data and AI solutions with industry awards and accolades.