Position: Senior Data Engineer
Company: Altimetrik
Experience required: 5y
English level: intermediate

**You will**

-Design efficient and scalable databases and data warehouses 
-Implement robust cloud-based data pipelines 
-Ensure quality and consistency of data & monitoring ETL processes 
-Work with key business stakeholders, technology experts to gather requirements and develop solutions. 
-Mentor and coach teammates. 

**Requirements**

-At least five years of industry experience in: 
implementing data pipelines using ETL tools (e.g: pygrametl, Talend, Luigi or other)  
-Designing relational database using one of most popular DBMS (e.g. Oracle, MS SQL, PostgreSQL or others) 
designing and implementing data warehousing solutions (e.g: Snowflake, ----Redshift, BigQuery or others) 
-Extracting data from SQL, Messaging systems (Eg: Kafka), NoSQL databases (e.g: MongoDB, Cassandra )  
-Should be able to Unit test and do an end to end testing of all data pipelines and validate data with source 
-Strong SQL Knowledge and Data Analysis skills 
-Python programming skills Mandatory.  
-Participating in all phases of software development lifecycle (plan, design, develop, test, release, maintain and support) 
-Experience with cloud environment (e.g: AWS, Azure, GCP, OpenShift) 
-A DevOps mindset 
-Excellent Communication Skills. 
-Mentoring and leading a team of data engineers. 
 

**Experience and skills which are strong assets** 

-Analytic engines such like Spark, PySpark 
-Designing Business Intelligence visualization dashboards with Tableau, --Apache Superset 
-Workflow tools: Apache Airflow 
-Experience in Kubernetes