Digital Python

Strong analytic skills related to working with Structured/Unstructured datasets. Strong understanding of Data modelling in Datawarehouse Analytics and Big data Advanced working SQL knowledge and experience working with relational databases SQL as well as working familiarity with a variety of databases. Experience building and optimizing Databricks Notebooks using pyspark and spark sql Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Build processes supporting data transformation data structures metadata dependency and workload management. A successful history of manipulating processing and extracting value from large disconnected datasets. Working knowledge highly scalable big data/data lake . Experience supporting and working with crossfunctional teams in a dynamic environment. Candidate with 5 years of experience in a Data Engineer role. Excellent communication skills and proven business oriented communication with stakeholders Skill: Experience with big data tools: Databricks Spark Hadoop AWS Services etc. Strong Experience with relational SQL databases including Redshift Oracle . Experience with data pipeline and workflow management tools: Airflow etc. Strong Experience with AWS cloud services: S3 EC2 RDS Redshift Experience with objectoriented/object function scripting languages: Python Scala etc.