We are looking for a Senior Data Engineer who will be joining Edvantis as part of the newly formed International Data Squad. You will be working closely with the existing members of the Squad.
Our is a US-based data analytics company that serves companies operating in the energy industry, especially those focused on exploration and production activities. Its product portfolio includes data sets, reports, alerts, analytics tools, databases, data management tools, and expert advisory, among other services designed to track, analyze and distribute information about onshore oil and gas drilling activities, giving its clients a complete perspective of the sector in the investment decision-making process. Customer develops a large ecosystem of products related to that domain including complex data storages and pipelines, web, mobile, and desktop.

Responsibilities:

  • Building new features as well as helping improve our current manufacturing pipelines
  • Evaluate business requirements and write scripts that follow project architecture
  • Write scripts in Python for Extracting Data from TXT, CSV , PDF, JSON and XML files
  • Develop ETL process to migrate data from MS SQL to AWS using Python
  • Develop/support an ETL service that looks for the files in the S3 and load to DB
  • Work with Elasticsearch Indexes
  • Analyze system logs and troubleshooting

Requirements:

  • 5+ years of Python programming experience
  • Strong knowledge of AWS databases (Aurora/RDS/Redshift, DynamoDB)
  • Knowledge of relational database using SQL Server and T-SQL
  • Familiarity with big data technologies (PySpark, Spark + Scala) Git/GitHub
  • Familiarity with branching strategies or branching models Agile methodologies
  • Knowledge of Jira and Confluence
  • English level – Upper-Intermediate

We offer:

  • Career and professional growth
  • Сompetitive salary
  • Friendly and highly professional teams
  • Big and comfortable office, own parking area, restaurants nearby
  • Medical insurance coverage for employees (Сovid-19 included), plus an option for family insurance coverage at a corporate rate
  • Paid 12 sick leaves and all holidays
  • Paid 18 working vacation days
  • English/German language courses
  • Comfortable office facilities (kitchens, coffee/tea points)

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