Bachelor’s degree in Computer Science, Computer Engineering or a software related discipline. A Master’s degree in a related field is an added plus
6 + years of experience in Data Warehouse and Hadoop/Big Data
3+ years of experience in strategic data planning, standards, procedures, and governance
4+ years of hands-on experience in Python or Scala
4+ years of experience in writing and tuning SQLs, Spark queries
3+ years of experience working as a member of an Agile team
Experience with Kubernetes and containers is a plus
Experience in understanding and managing Hadoop Log Files.
Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn.
Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining.
Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow
Experience in architecting, designing, installation, configuration and management of Apache Hadoop Clusters
Experience in analyzing data in HDFS through Map Reduce, Hive and Pig
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Strong analytic skills related to working with unstructured datasets
Experience in Migrating Big Data Workloads
Experience with data pipeline and workflow management tools: Airflow
Experience with scripting languages: Python, Scala, etc.