Lead Data Engineer

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 a related field. • Bachelors/Masters degree in Computer Science, Information Technology, Engineering, or related field. • 8+ years of experience in data engineering or data platform development, with at least 23 years in a lead or architect role. • Strong hands-on experience in one or more of the following: • Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse) • Databricks (Spark, Delta Lake, PySpark, MLflow) • Snowflake (Data Warehousing, Snowpipe, Performance Optimization) • 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. Skills: snowflake , Power Bi, Sql, Databricks, Python Experience: 7.00-12.00 Years