Data Architect ETL Python Spark
Data Architect ETL Python Spark
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1 Vacancy
Job Description
USbased consulting analytics and technology services firm. We help our clients achieve competitive advantage through EndtoEnd Digital Transformation. We have deep domain expertise in Financial Services Telecom Life Science & Healthcare and Product Engineering. Our uniqueness lies in bringing together strong engineering data science and design capabilities with domain understanding and experience from digital natives. We cut across the constantly blurring boundaries between services and products to maximize business impact from emerging technologies.
Data Architect (ETL Python Spark) Sr. Data Architect
Will be responsible for design development integration and maintenance of Modern Data Management systems primarily focused on Shared Disk versus Shared Nothing use cases.
experienced with Snowflake AWS Redshift like similar MPP Databases. Build and design Moder Digital Data Platforms in accordance with DataOps best practices and architectural guidance using tools like Markit Business objects Informatica MS SQL PL/SQL etc.
A deep knowledge of Big Data Dataoncloud Real time streaming data technologies.
Should have designed and implemented enterprisegrade Data Platforms deployed in production environments.
Expertise in designing implementing large scale realtime data pipelines for data curation feature engineering and machine learning using technologies like Kafka Kafka Streams Spark Streaming and similar cloud native technologies; either on premise or on Cloud (AWS Google or Azure).
Expertise in designing and building performant data tiers (or refactoring existing ones) that supports scaled AI and Analytics using different Cloud native data stores on AWS Azure and Google (Redshift S3 BigQuery etc. as well as using NoSQL and Graph Stores.
Must Have Skills:
AWS Python Data Modelling Spark
PREFERRED SKILLS
4 or more years programming in SQL R and/or Python.
Experience with R and/or Python is strongly desired
Experience with Spark is desired
Familiarity with data warehousing concept
Expert in Microsoft Office suite especially Word Excel and Powerpoint
Familiarity with IBM DB2 and SQL Server (SSRS SSIS SSAS) databases.
Experience & Qualifications
BA/BS degree in Math Marketing Computer Science or other analytical or quantitative area is required
Strong mathematical skills analytical skills and mastery of web analytics techniques to transform raw data into insights and recommendations that will effectively support decision making processes
Expertise in data collection development and reporting datadriven insights and recommendations
Highly organized and rigorous thinking able to solve problems diligently and creatively
Strong quantitative and qualitative skills with proven data interpretation abilities and technical skills
Knowledge of multisite website functionality tracking concepts and tagging infrastructure
Experience with statistical analysis methods and tools (e.g. A/B testing ttests ztests)
Genuine team player able to work well and pleasantly in a team and work independently for the team
Strong time management skills with a track record of consistently meeting deadlines
Ability to communicate effectively with technical and nontechnical audiences
Detail oriented able to record organize and track content from meetings and discussions
If you are interested please send your CV in English.
All applications will be treated in strict confidentiality. Only shortlisted candidates will be contacted for an interview. IC Recruiting Ltd. Recruitment license from National Agency of Employment No 2087/22.07.2016.
InterContinental Recruiting
Please contact us with any questions:
Email:
Phone: (w)
Recruitment license from National Agency of Employment No 2087/22.07.2016
Employment Type
Full Time
