Position: Data Engineer
Company: Starkflow
Category: Data Engineer
Experience required: 3y
English level: fluent
Published: 2022-04-01T00:00:00+03:00

Hello, Greetings from Starkflow!

About The Company: It is the company an ardent endeavour to deliver a stable, secure and scalable Cloud & Data foundation, on which you can confidently explore your business data. And, our Analytics Services enable you to uncover ‘digital’ opportunities, to create better products & services for your customers. Our key focus is to kick-off engagements within a week’s notice and deliver incremental business insights, while achieving up to 30% TCO reduction and ROI realization within 12 to 18 months.

About the role: We are looking for a Data Engineer with 3-6 years of experience and has prior experience with Power BI, DAX, Databricks, Python / PySpark, SQL , SQL T-SQL stored procedure programming, Azure

Tasks & Responsibilities: As Data Engineer Allrounder you will be responsible to develop backend as well as frontend analytics solutions for our customers.

Specialization: Required experience / expertise /Technologies and hard skills: Power BI, DAX Databricks Python / PySpark SQL SQL T-SQL stored procedure programming Demonstrated experience of C# and SQL development, ability to analyze SQL execution plans and troubleshooting SQL Server 2016 and above Function Apps, C# Power Shell Power Apps Experience with agile way of working (Scum, Kanban, DevOps) Data Modelling using star schemas Azure Cloud Framework Azure Synapse Workspace GIT and CICD

Nice to have: Python programming, python unit testing, PySpark, Spark streaming, Spark SQL, Building, packaging pyspark jobs. Spark performance tuning, interpreting execution plans Airflow Pandas, Requests, SQLAlchemy and working with JSON+XML in python Kubernetes, docker

Must Have Skills: Power BI, DAX Databricks Python / PySpark SQL SQL T-SQL stored procedure programming Azure. Budget is not a barrier (Depends on Market rate & Experience) Willing to work in European Time Zone.