Senior Data Engineer (Data Competency Center)

Unleash your ambition as a Senior Data Engineer!

We are looking for a professional who not only has strong expertise in data engineering but is also ready to take on a driver role, contributing to our Data Competency Center within Sigma Software. The role will involve Solution assessment, pre-sales activities under supervision, architecture design composition, and more. We seek someone passionate about data processing who strongly desires to grow their skills and expertise in this field.

Join us at Sigma Software to be at the forefront of the most interesting projects and play a pivotal role in our Competence Center’s growth and success.

PROJECT

While regularly getting new opportunities, we currently don’t have enough people to process them. Thus, we are looking for someone to extend the Data Competency team to support the pre-sales processes and get involved in the project. As a Data Engineer joining BU003 Data Competency Center, you will play a pivotal role in shaping and driving its endeavors.

REQUIREMENTS

- Pre-sales collaboration: Collaborating with solution architects, project managers, and business analysts to gather requirements, perform investigations, and provide estimations for potential projects

- Project initiation: Taking the lead in driving new projects and being a key driver in their success

- Project execution: Becoming a part of the team for one of the opportunities in the pipeline, fulfilling the Data Engineer role

- Contributing to and spearheading Data Engineering excellence: Researching technology trends and conducting best practices analysis to ensure our solutions remain state-of-the-art

RESPONSIBILITIES

- Proficiency in building, maintaining, testing, and delivering large-scale data pipelines

- ETL/ELT expertise: Practical experience with at least one end-to-end solution and its start, development, and maintenance.

- Proficiency in working with large data extraction, aggregation, and manipulation using a selected database. Experience and strong knowledge of SQL and NoSQL databases. Understanding the pros and cons of different types of databases, experience in data modeling, and database optimizations

- At least 3-5 years of proficiency in Python or Scala for data processing and transformation

- Hands-on experience with main frameworks and libraries in Data Engineering domains: Spark, Hive, Kafka, Airflow, Flink, etc., with a proven record of debugging and optimization experience

- Experience with CI/CD in data engineering

- Experience with cloud-based data processing solutions

WILL BE A PLUS:

- Knowledge of K8s orchestrations

- Exposure to OLAP tools like Tableau, Qlik, Grafana, or similar

- Databricks experience/certification