Description
- Senior Data Engineers with experience in Azure, Datalake, Python, SQL,Spark
- URGENT 12 month Contract!
- 2285 to 3365 zloty (Pln) per day - Hybrid - Warsaw Poland
Templeton & Partners are looking for an experienced Data Engineer that can build, expand and optimise data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
Responsibilities:
Create and maintain optimal data pipeline architecture.
Assemble 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 Alteryx, SQL, Python, R, PySpark, SparkR.
Keep our data separated and secure across national boundaries through multiple data centers and Azure,
Qualiications:
Advanced experience working with relational databases, query authoring with a variety of databases.
Experience building and optimizing 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.
Proven experience in manipulating, processing and extracting value from large disconnected datasets.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
They should also have experience using the following software/tools:
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with object-oriented/object function Scripting languages: Python, SQL, Azure Spark etc.
Nice to have experience with big data tools: Hadoop, Spark, Kafka, etc.
For more information please apply!