Lead Data Engineer SQL Python

Core Responsibilities:- Lead end-to-end design, development, and delivery of complex cloud-based data pipelines.- Collaborate with architects and stakeholders to translate business requirements into technical data solutions.- Ensure scalability, reliability, and performance of data systems across environments.- Provide mentorship and technical leadership to data engineering teams.- Define and enforce best practices for data modeling, transformation, and governance.- Optimize data ingestion and transformation frameworks for efficiency and cost management.- Contribute to data architecture design and review sessions across projects.Qualifications:- Bachelor's or Master's degree in Computer Science, Engineering, or related field.- 8+ years of experience in data engineering with proven leadership in designing cloud-native data systems.- Strong expertise in Python, SQL, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP).- Experience with Big Data, Data Lake, DeltaLake, and Lakehouse architectures.- Proficient in one or more database technologies (e.g. PostgreSQL, Redshift, Snowflake, and NoSQL databases).- Ability to recommend and implement scalable data pipelines.Preferred Qualifications:- Cloud certification (AWS, Azure, or GCP).- Experience with Databricks, Snowflake, or Terraform.- Familiarity with data governance, lineage, and observability tools.- Strong collaboration skills and ability to influence data-driven decisions across teams. (ref:hirist.tech)