/Data Engineer

Data Engineer

Polandplvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
3 months ago
// Seniority
mid
// Experience
5+ years

About the Role

Responsibilities Design, build and maintain complex ETL jobs that deliver business value  Translate high-level business requirements into technical specs  Ingest data from disparate sources into the data lake and data warehouse  Cleanse and enrich data and apply adequate data quality controls  Provide insight and direction to guide the future development of data platform  Develop re-usable tools to help streamline the delivery of new projects  Collaborate closely with other developers and provide mentorship  Evaluate and recommend tools, technologies, processes and reference architectures   Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements   Competencies   Proficient in data management including data analytical capability Excellent verbal and written communications, high attention to detail Ability to manage diverse projects impacting multiple roles and processes Candidate should be able to troubleshoot problem areas and identify data gaps and issues Ability to adapt to fast changing environment Strong experience with database modeling and schema design for relational databases  Experience Working with Relational Databases like Postgres, Vertica etc. Experience with Git, JIRA, Jenkins, Confluence  Experience with ETL, data transformations & Datawarehouse Concepts Understanding of Linux, AWS (or other cloud platforms), Python Cloud: Experience working in a cloud environment (e.g. AWS)  Experience dealing with data pipelines using Python and/ Pyspark  Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka  Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow)  Experience Data: 5+ years of experience with data analytics and warehousing  SQL: Deep knowledge of SQL and query optimization  ETL: Strong understanding of ETL methodologies and tools  Hands-on experience with various cloud-based database technologies (Aurora, Vertica, Redshift, etc.)  Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)  Experience in data governance a plus.  Data Engineer   I hereby consent to having my personal data processed and I have readTerms of Use*

Tech Stack

ETLData WarehousingSQLPythonPysparkApache SparkKafkaApache AirflowAWSPostgresVerticaGitJIRAJenkinsConfluenceLinux

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