Senior Data Engineer (SQL, Snowflake, Python)

Technology Stack:

SQL, Snowflake, NoSQL, Python, Scala, Spark-SQL, Kafka, Talend, Stream, Hadoop, Spark, Azkaban, Luigi, Airflow




Senior Data Engineer (SQL, Snowflake, Python)

JettyCloud looks for IT professionals on behalf of RingCentral to join its team in Sofia.

RingCentral Bulgaria is a new European branch of an American company RingCentral. JettyCloud is a software R&D center that works for RingCentral. Due to our long-term partnership we help the company to find talented engineers who will work on #1 cloud communications solution.

As a Senior Data Engineer, you’ll be a part of our growing engineering team and help our core data layer, which includes data services, core application schema(s), data lake, data connectors, and data transformation. You’ll have the chance to partner closely with our engineering teams, data analysts, product management, and business operations and be the glue that connects the dots.

We are looking for an experienced Data professional who is a problem solver, a logical thinker, and passionate about everything relating to data and analytics.

  • Create and maintain optimal data pipeline architecture;

  • Assemble large, complex data sets that meet functional / non-functional business requirements;

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;

  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Snowflake, and AWS ‘big data’ technologies;

  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics;

  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs;

  • Keep our data separated and secure across national boundaries through multiple data centers and Snowflake, AWS regions;

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader;

  • Work with data and analytics experts to strive for greater functionality in our data systems.


  • 3+ years of experience in a Data Engineer role;

  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets;

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement;

  • Strong analytic skills related to working with unstructured datasets;

  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management;

  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores;

  • Experience supporting and working with cross-functional teams in a dynamic environment;

  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra;

  • Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL, etc;

  • Experience with Kafka, Talend, and Stream sets;

  • Nice to have experience with big data tools: Hadoop, Spark, etc;

  • Nice to have experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

  • Upper-Intermediate English or above.

We offer

  • Well-coordinated professional team;

  • Cutting edge technologies, interesting and challenging tasks, dynamic project, great opportunities for self-realization, professional and career growth;

  • Additional Health and Life Insurance Package;

  • Employee Assistance Program;

  • 25 vacation days;

  • ReBenefit Platform Account with 400BGN value monthly.

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