Senior Data Engineer (Lead)

Job role : Sr. Data Engineers Lead Location: Remote Job Type: Contract Sr. Data Engineering Lead • We are seeking a highly experienced Senior Data Engineering Lead with minimum 10+ years’ experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. • The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts Key Qualifications: • The candidate must have experience and expert skills in the following areas: • Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL. • Azure Expertise: Proficient in Microsoft Azure Cloud Services. • Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud. • Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling. • Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory. • Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management. • Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc. • Analytical Skills: Strong analytical and problem-solving skills. • Leadership: Lead development teams, drive project timelines, and ensure high-quality deliverables. Additional Preferred Qualifications: · Azure DevOps and CI/CD deployments · Cloud migration methodologies and processes · 2+ yrs of experience with Power BI · 5+ yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.