What are the responsibilities and job description for the Senior Specialist - Software Engineer position at HexaQuEST Global?
JOB DETAIL
Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
Drive adoption of the these data tools to modernize existing ETL frameworks/processes
Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
Identify additional strategic opportunities to evolve the data engineering practice
Required Skills:
10 years of experience in data engineering
Experience building production data pipelines using frameworks using PYTHON, Spark, Hive/Hadoop .
Hands on experience with schema design and data modeling
10 years of software development in a major language .
3 plus years of experience to common Python packages, such as PySpark
Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata
Have a software engineering mindset and strive to write maintainable, and testable code
Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores
Experience with performance tuning data transformations across large data sets
Exceptional problem solving skills & Excellent communication skills
Understanding of the Agile methodology
Desired Skills:
BS/MS in Computer Science, Engineering or other quantitative discipline
Knowledge of financial concepts
Knowledge of cloud or distributed computing
Experience with Airflow
Experience with BI Platforms such as MicroStrategy or Tableau
Software development in an Agile environment
Working experience with Git, Jira, Confluence
Excellent written and oral communication skills
Passion for automation and continual process improvement
Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
Drive adoption of the these data tools to modernize existing ETL frameworks/processes
Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
Identify additional strategic opportunities to evolve the data engineering practice
Required Skills:
10 years of experience in data engineering
Experience building production data pipelines using frameworks using PYTHON, Spark, Hive/Hadoop .
Hands on experience with schema design and data modeling
10 years of software development in a major language .
3 plus years of experience to common Python packages, such as PySpark
Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata
Have a software engineering mindset and strive to write maintainable, and testable code
Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores
Experience with performance tuning data transformations across large data sets
Exceptional problem solving skills & Excellent communication skills
Understanding of the Agile methodology
Desired Skills:
BS/MS in Computer Science, Engineering or other quantitative discipline
Knowledge of financial concepts
Knowledge of cloud or distributed computing
Experience with Airflow
Experience with BI Platforms such as MicroStrategy or Tableau
Software development in an Agile environment
Working experience with Git, Jira, Confluence
Excellent written and oral communication skills
Passion for automation and continual process improvement
Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
Drive adoption of the these data tools to modernize existing ETL frameworks/processes
Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
Identify additional strategic opportunities to evolve the data engineering practice
Required Skills:
10 years of experience in data engineering
Experience building production data pipelines using frameworks using PYTHON, Spark, Hive/Hadoop .
Hands on experience with schema design and data modeling
10 years of software development in a major language .
3 plus years of experience to common Python packages, such as PySpark
Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata
Have a software engineering mindset and strive to write maintainable, and testable code
Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores
Experience with performance tuning data transformations across large data sets
Exceptional problem solving skills & Excellent communication skills
Understanding of the Agile methodology
Desired Skills:
BS/MS in Computer Science, Engineering or other quantitative discipline
Knowledge of financial concepts
Knowledge of cloud or distributed computing
Experience with Airflow
Experience with BI Platforms such as MicroStrategy or Tableau
Software development in an Agile environment
Working experience with Git, Jira, Confluence
Excellent written and oral communication skills
Passion for automation and continual process improvement
Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
Drive adoption of the these data tools to modernize existing ETL frameworks/processes
Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
Identify additional strategic opportunities to evolve the data engineering practice
Required Skills:
10 years of experience in data engineering
Experience building production data pipelines using frameworks using PYTHON, Spark, Hive/Hadoop .
Hands on experience with schema design and data modeling
10 years of software development in a major language .
3 plus years of experience to common Python packages, such as PySpark
Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata
Have a software engineering mindset and strive to write maintainable, and testable code
Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores
Experience with performance tuning data transformations across large data sets
Exceptional problem solving skills & Excellent communication skills
Understanding of the Agile methodology
Desired Skills:
BS/MS in Computer Science, Engineering or other quantitative discipline
Knowledge of financial concepts
Knowledge of cloud or distributed computing
Experience with Airflow
Experience with BI Platforms such as MicroStrategy or Tableau
Software development in an Agile environment
Working experience with Git, Jira, Confluence
Excellent written and oral communication skills
Passion for automation and continual process improvement
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