Senior Data Engineer @

6 days ago

Remote Warsaw, Czech Republic RemoDevs Full time

Requirements

  • 3+ years Python coding experience. 
    • 5+ years - SQL Server based development of large datasets 
      • 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark. 
        • Experience in any cloud data warehouse like Synapse, ADF, Redshift, Snowflake. 
          • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling. 
            • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills. 
              • Experience with Cloud based data architectures, messaging, and analytics. 
                • Cloud certification(s). 
                  • Add ons: Any experience with Airflow , AWS lambda, AWS glue and Step functions is a Plus. 

Please note that is 100% remote role - but we are going to consider only candidates from from Warsaw and surroundings

About:

We are seeking a highly motivated and self-driven data engineer for our growing data team -who is able to work and deliver independently and as a team. In this role, you will play a crucial part in designing, building and maintaining our ETL infrastructure and data pipelines.

,[This position is for a Cloud Data engineer with a background in Python, DBT, SQL and data warehousing for enterprise-level systems. , Adhere to standard coding principles and standards. , Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity. , Design, develop, and deploy python scripts and ETL processes in ADF environment to process and analyze varying volumes of data. , Experience of DWH, Data Integration, Cloud, Design and Data Modelling. , Proficient in developing programs in Python and SQL , Experience with Data warehouse Dimensional data modeling. , Working with event based/streaming technologies to ingest and process data. , Working with structured, semi structured and unstructured data. , Optimize ETL jobs for performance and scalability to handle big data workloads. , Monitor and troubleshoot ADF jobs, identify and resolve issues or bottlenecks. , Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions. , Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process. , Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. , Checking in, checkout and peer review and merging PRs into git Repo. , Knowledge of deployment of packages and code migrations to stage and prod environments via CI/CD pipelines. ] Requirements: ETL, Data pipelines, Cloud, Python, dbt, SQL, ADF, DWH, Data modelling, Data warehouse, Data modeling, Big Data, Data management, Security, Databricks, Git, CI/CD Pipelines, Redshift, Snowflake, OLAP, AWS, AWS Glue, Airflow, AWS Lambda Tools: . Additionally: Private healthcare.

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