Lead Data Engineer @Kanerika Inc

Overview

We’re looking for an experienced Lead Data Engineer to join our growing Data & AI team at Kanerika.

📍 Locations: Hyderabad | Indore | Ahmedabad
💼 Experience: 8+ years (including 2–3 years in a Lead/Architect role)

What You Will Do:

Following are high level responsibilities that you will play but not limited to:

· 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.

· Bachelor’s/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:

o Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse)

o Databricks (Spark, Delta Lake, PySpark, MLflow)

o Snowflake (Data Warehousing, Snowpipe, Performance Optimization)

o 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.