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Senior Data Expert

Description

Role

  • Diagnose existing architecture and assess data utility; identify gaps 
  • Lead feature engineering and DS pipeline creation, including ETL experience and support for DS feature selection efforts
  • Design and jointly develop the data architecture with data architect; ensure scalability, security and maintenance
  • Build data tools and products for effort automation and easy data accessibility

 Responsibilities

  • Collaborate with Data Architect to execute tasks within agreed framework and with 
  • Collaborates with Product Owner to deliver solutions that avoid unnecessary changes in the future
  • Gathers requirements, assesses gaps and builds roadmaps and architectures to help the analytics driven organization achieve its goals
  • Works closely with Data Analysts to ensure data quality and availability for analytical modelling
  • Explores suitable options, designs, and creates data pipeline (data lake / data warehouses) for specific analytical solutions
  • Defines ETL / ELT based on jointly defined requirements
  • Orchestrates pipeline and queries with sequence of imports
  • Identifies gaps and implements solutions for data security, quality and automation of processes
  • Support maintenance, bug fixing and performance analysis along data pipeline based on a TCO approach
  • Collaborates with business and understands UC application of data


Technical Skills

  • BS/MS degree in Computer Science, Engineering, background in Mathematics and Statistics is good to have
  • At least 10 years of experience in Data Engineering Domain.
  • Ability to write clean code and documentation, optimize code, and reduce infrastructure cost
  • Data manipulation and munging in Python, incl. at scale e.g., PySpark or a similar language
  • Experience on cloud infrastructure (e.g., Microsoft Azure, Databricks)
  • Experience using SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, Oracle etc in production environments is a plus.
  • Experience in data engineering & data bases/warehouses
  • Experience on Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, CouchDB, Hive) preferred 
  • Experience with BI and data visualization packages is a plus
  • Comfort with shell scripting (e.g., Bash) and Python (or similar) scripting
  • Business acumen and ability to communicate technical matters to non-experts

Managerial Skills

 

  • Industry and domain expert coaching junior colleagues, demonstrates achieving business value by exceeding stakeholder expectations with delivered products, deep understanding of agile workflows.
  • Owns full responsibility and accountability for key decisions, e.g., about decisions with regards to product roadmap periodization.

Equality

All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law. 

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