Senior AWS Data Engineer

We are seeking an experienced AWS Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience in building and managing scalable data pipelines on AWS, utilizing Databricks, and have a deep understanding of the Software Development Life Cycle (SDLC) and will play a critical role in enabling our data architecture, driving data quality, and ensuring the reliable and efficient flow of data throughout our systems. Required Skills: 7+ years comprehensive experience working as a Data Engineer with expertise in AWS services (S3, Glue, Lambda etc.). In-depth knowledge of Databricks, pipeline development, and data engineering. 2+ years of experience working with Databricks for data processing and analytics. Architect and Design the pipeline - e.g. delta live tables Proficient in programming languages such as Python, Scala, or Java for data engineering tasks. Experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Experience with ETL/ELT tools and processes in a cloud environment. Familiarity with Big Data processing frameworks (e.g., Apache Spark). Experience with data modeling, data warehousing, and building scalable architectures. Understand/implement security aspects - consume data from different sources Preferred Qualifications: Experience with Apache Airflow or other workflow orchestration tools, Terraform , python, spark will be preferred AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty, or similar certifications.