Senior Data Engineer

Summary:

We're looking for a skilled Data Engineer with strong expertise in Databricks and SQL to join our data analytics team. You will work as part of a cross-functional team to design, build, and optimize data pipelines, frameworks, and warehouses to support business-critical analytics and reporting. The role requires deep-on experience in SQL-based transformations, Databricks, and modern data engineering practices.

Experience:

• 6+ yearsof relevant experience or equivalent educationin ETL processing/data engineering or related field.
• 4+ yearsof experience with SQL development (complex queries, performance tuning, stored procedures).
• 3+ years of experience building data pipelineson Databricks/Spark (Python/Scala).
• Exposureto cloud data platforms (Azure/AWS/GCP) is a plus.

Roles &Responsibilities:

• Design, develop,and maintain data pipelines and ETL processesusing Databricks and SQL.
• Write optimized SQL queries for data extraction, transformation, and loadingacross large-scale datasets.
• Monitor, validate, and optimize data movement, cleansing, normalization, and updatingprocesses to ensure data quality, consistency, and reliability.
• Collaborate with business and analytics teams to definedata models, schemas,and frameworks within the data warehouse.
• Documentsource-to-target mapping and transformation logic.
• Build data frameworksand visualizations to support analytics and reporting.
• Ensure compliance with data governance, security, and regulatory standards.
• Communicate effectively with internal and external stakeholders to understand and deliver on data needs.

Qualifications & Experience:

• Bachelor's degree in Computer Science,Data Engineering, or related field.
• 6+ years of hands-on experience in ETL/data engineering.
• Proficiency in the Python programming language.
• Strong SQL development experience (query optimization, indexing strategies, stored procedures).
• 3+ years of experience in Spark.
• 3+ years of Databricks experience with Python/Scala.
• Experience with cloud platforms (Azure/AWS/GCP) preferred.
• Databricks or cloud certifications (SQL, Databricks, Azure Data Engineer) are a strong plus.