Data Engineer
Data Engineer
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Job Description
The data engineer will play a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data management analytics and business intelligence initiatives following industry standard practices and tools.
The bulk of the data engineers work would be in building managing and optimizing data integration pipelines and then moving these data pipelines effectively into production for key analytics consumers (business domain owners business/data analysts product owners decision makers on operational tactical and strategic levels) or any group that needs curated insights for data informed problemsolving use cases across the enterprise.
Qualifications :
Education
A masters degree in computer science data science software engineering or related field.
Experience
At least three years of experience in BI development data analytics data engineering software engineering or a similar role.
Expertise in data modelling ETL development data architecture master data management.
Strong experience with various Data Management architectures like data warehouse data lake LakeHouse architecture Data Fabric vs Data Mesh concepts and the supporting processes like data Integration MPP engines governance metadata management.
Intermediate experience in Apache technologies such as Spark Kafka and Airflow to build scalable and efficient data pipelines.
Strong experience in designing building and deploying data solutions that capture explore transform and utilize data to create data products and support data informed initiatives. Proficiency in ETL/ELT data replication/CDC messageoriented data movement API design and access and upcoming data ingestion and integration technologies such as stream data integration and data virtualization.
Basic knowledge and ability in data science languages/tools such as R Python TensorFlow Databricks Dataiku SAS or others.
Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (i.e. AWS OCI Azure GCP) and modern data warehouse tools (Snowflake Databricks etc)
Strong experience with database technologies such as SQL NoSQL PostgreSQL Oracle Hadoop Teradata etc.
Intermediate experience working with popular data discovery analytics and BI software tools like PowerBI Tableau Qlik Sense Looker ThoughtSpot MicroStrategy or others for semanticlayerbased data discovery is advantage.
Expert problemsolving skills including debugging skills allowing the determination of sources of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
Additional Information :
We prioritize diversity equity and inclusion by creating an equal opportunities workplace and a humancentric environment where people of all cultural backgrounds genders and ages can contribute and grow.
To succeed we must work together with a human first approach. Why because our people are our greatest strength leading to our continued success on improving the lives of those around us.
We offer:
Training and career development opportunities internally
Strong emphasis on personal and professional growth
Friendly supportive working environment
Opportunity to work with colleagues based all over the world with English as the company language
Our core values are key to how we operate and if you feel they resonate with you then Ergomed is a great company to join!
Quality
Integrity & Trust
Drive & Passion
Agility & Responsiveness
Belonging
Collaborative Partnerships
We look forward to welcoming your application.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
