ACCOUNTABILITIES

• Developing and maintaining scalable and reusable data pipelines to support continuing increases in data volume and complexity.
• Implementing processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
• Collaborating with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
• Performing data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Manage Data Services and Data Quality transformations using SQL: analyzing redundant and inconsistent data
• Own continuous improvement and performance testing: document ETL-related issues and perform RCA, identify long running jobs and optimization opportunities
• Actively Contributing to engineering wiki, and documenting developments
• Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

QUALIFICATIONS, EXPERIENCE, SKILLS

Mandatory

• Hands on experience in ETL design, source-target mapping, developing and performance tuning complex ETL code (Informatica, Talend, Azure data factory, SAP DataServices)
• Hands on experience of cloud analytics platforms, especially Microsoft Azure stack
• Big Plus for experience with code versioning and DevOps pipelines
• Good understanding of HDInsight cluster, as well as RDBMS databases & No-SQL databases Dimension (Microsoft, Oracle, Influx, Mongo, Cassandra)
• Experience in connecting to heterogeneous sources including SAP, Hadoop, Hive, Databricks, HDInsight, Salesforce as well as connecting to multiple file formats and file location objects
• Knowledge of Slowly Changing, ABAP Data flow Extractions, Star Schema, Snowflake Schema, OLTP and OLAP
• Strong understanding of data science concepts
• BA/BS in Computer Science, Computer Engineering, Data Science/Engineering, Statistics/Mathematics or similar
• Proficiency in English, fluency in other European languages is beneficial

Nice to have

• Familiar with Agile, Scrum would be a plus;
• Knowledge of creating Custom Reports and Dashboards (in SSRS, Qlik or PowerBI)
• Functional knowledge in manufacturing and supply chain

COMPETENCIES

• Sense of ownership and pride in your performance and its impact on company’s success
• Critical thinker and problem-solving skills, able to deal with ambiguity
• Strong interpersonal skills, excellent communication and collaboration with technical and non-technical audiences
• Ability to prioritize and manage several projects at the same time