- Participatein the customer s system design meetings and collect thefunctional/technical requirements.
- Build updata pipelines for consumption by the data science team.
- Skillfulin ETL process and tools.
- Clearunderstanding and experience with Python and PySpark or Spark andSCALA with HIVE Airflow Impala and Hadoop and RDBMS architecture.
- Experiencein writing Python programs and SQL queries.
- Experiencein SQL Query tuning.
- Experiencedin Shell Scripting (Unix/Linux).
- Build andmaintain data pipelines in Spark/Pyspark with SQL and Python orSCALA.
- Knowledgeof Cloud (Azure/AWS/GCP etc..) technologies is additional.
- Good tohave knowledge of Kubernetes CI/CD concepts Apache Kafka
- Suggestand implement best practices in data integration.
- Guide theQA team in defining system integration tests as needed.
- Split theplanned deliverables into tasks and assign them to the team.
- Needs toMaintain/Deploy the ETL code and follow the Agile methodology
- Needs towork on optimization wherever applicable.
- Good oralwritten and presentation skills.
- Degreein Computer Science IT or a similar field; a Master s is a plus.
- Handsonexperience with Python and Pyspark Or
- Handsonexperience with Spark and SCALA.
- Greatnumerical and analytical skills.
- Workingknowledge of cloud platforms such as MS Azure AWSetc..
- Technicalexpertise in data models data mining and segmentationtechniques
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Description
JobDescription:Weare looking for Data Engineers to join our team. You will usevarious methods to transform raw data into useful data systems. Forexample you ll create algorithms and conduct statistical analysis.Overall you ll strive for efficiency by aligning data systems withbusiness goals. To
succeed in thisposition you should have strong analytical skills and the abilityto combine data from different sources. Data engineer skills alsoinclude familiarity with several programming languages andknowledge of machine learningmethods.
JobRequirements: