Data Scientist

Job Description

Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines. Technical Skills: Proficiency in Python, Java, or Scala for data engineering tasks. Strong SQL skills for querying and optimizing large datasets. Experience with data processing frameworks like Apache Spark, Beam, or Flink. Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend. Experience in pub sub and stream processing using Kafka/Kinesis or the like Cloud Platforms: Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services. Data Modeling: Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas). Collaboration: Proven ability to work with cross-functional teams and translate business requirements into technical solutions. Preferred Skills: Familiarity with data visualization tools like Tableau or Power BI to support reporting teams. Knowledge of MLOps pipelines and collaboration with data scientists.