Senior Data Engineer

The Senior Data Engineer   is responsible for   designing, building, and   maintaining   the   data pipelines, transformation layers, and data models that power the enterprise   lakehouse . This role is a technical anchor on the data engineering team, delivering robust ELT/ETL solutions and serving as a mentor to junior engineers.    KEY RESPONSIBILITIES     ▸   Design   and implement scalable batch and streaming data pipelines using Apache Spark, Kafka, and Flink    ▸   Build   and   maintain   the Bronze/Silver/Gold medallion architecture within the   lakehouse   (Delta Lake / Iceberg)    ▸   Develop   and   optimize   complex SQL and   PySpark   transformations for large-scale datasets    ▸   Integrate   structured, semi-structured, and unstructured data sources into the   lakehouse     ▸   Collaborate   with data architects to evolve the physical and logical data models    ▸   Implement   data quality checks and monitoring using Great Expectations or   dbt   tests    ▸   Write   Infrastructure-as-Code for pipeline environments (Terraform, Helm)    ▸   Participate   in code reviews and enforce engineering standards and best practices    ▸   Troubleshoot   pipeline failures, performance bottlenecks, and data incidents     ▸   Mentor   junior and mid-level data engineers and contribute to internal knowledge sharing    REQUIRED QUALIFICATIONS     ▸   6 + years of data engineering experience with   a track record   of enterprise-scale delivery    ▸   Expert   proficiency   in Python and SQL;   PySpark   experience   required     ▸   Hands -on experience with Apache Spark, Delta Lake, or Apache Iceberg    ▸   Experience   with orchestration tools: Apache Airflow, Prefect, or   Dagster     ▸   Strong   knowledge of cloud data services: AWS Glue, Azure Data Factory, GCP Dataflow    ▸   Proficiency   with version control (Git), CI/CD pipelines, and containerization (Docker/Kubernetes)    ▸   Experience   with   dbt   (data build tool) for transformation layer management    ▸   Bachelor's   degree in Computer Science, Engineering, or related technical field    PREFERRED QUALIFICATIONS     ▸   Experience   with Databricks, Snowflake, or Apache Hudi    ▸   Knowledge   of streaming architectures and Apache Kafka      ▸   Certifications : Databricks Certified Data Engineer, AWS Data Analytics Specialty    At Dynata, we deliver the highest quality first-party data to help businesses around the world gain precise insights, activate the right audiences, and confidently measure impact. With industry-leading respondent accuracy, reliability, and a commitment to continuous improvement, Dynata is the trusted foundation for smarter decision-making.   At Dynata, we are committed to creating an inclusive and accessible environment where every employee and customer feels valued, respected, and supported. We strive to build a workforce that reflects the diversity of the communities we serve.…