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DATA TEAM - OPEN POSITIONS

Data Engineer

Responsibilities

  • Expand and optimize data pipeline architecture on cloud platform
  • Perform data preparation (ETL), data cleansing on large and complex data sets from multiple sources for data analysts and data scientists
  • Work with business units to identify data that is relevant for analytic
  • Work with developers to define data tagging requirements
  • Ensure quality of data and keep track of data lineage

Qualification

  • 3+ years of experience in data engineer or data architect role
  • Experience in relational database (SQL) and NoSQL databases.
  • Familiar with big data technologies (e.g. Hadoop)
  • Experience with Python, PySpark
  • Experience in data pipeline and workflow management tools (e.g. Luigi, Airflow) and stream processing
  • Communication skills including the ability to understand business process in any area in detail
  • Experience with machine learning models in production is a plus
  • Experience/Interest in the marketing, content marketing and financial domain is a plus

Data Analyst

Responsibilities

  • Work closely with business units to create reports and dashboards as business needs
  • Define and track metrics (KPI) for projects and market campaigns
  • Perform data mining to extract actionable insights from large and variety of datasets
  • Identify problems, trends and business opportunities through analysis of complex datasets

Qualification

  • 2+ year of experience in data analyst field
  • Bachelor’s Degree in Statistic, Mathematics, Computer Science or related fields
  • Proficiency in Excel, SQL and Python
  • Experience with any BI tools (e.g. Power BI, Tableau)
  • Communication skills including the ability to understand business process in any area in detail
  • Knowledge of data science is a plus
  • Experience/Interest in the marketing, content marketing and financial domain is a plus

Data Scientist (Business Development)

Responsibilities

  • Engage with business teams to identify opportunities and improvement of product development, marketing techniques and business strategies with data science knowledge
  • Discover hidden insights in both structured and unstructured data applying statistical or machine learning techniques
  • Extract customer behavior and create customer single view from large dataset
  • Develop predictive model to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Perform data preparation (ETL), data cleansing on large and complex data sets from multiple sources if needed

Qualification

  • 2+ years of experience in data science
  • Bachelor’s or Master’s Degree in Data Science, Statistic, Computer Science or related fields
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Expert in SQL and Python
  • Experience in PySpark is a plus
  • Knowledge of a variety of statistical techniques and machine learning techniques
  • Excellent technical and analytical skills with experience solving real-world problems using data and providing practical business insights
  • Strong communication skill to present insights with data
  • Experience/Interest in product development, marketing, content marketing is a plus

APPLY NOW AT

HR@FINNOMENA.COM