Azure Data Engineer (ETL Developer)

TL;DR

Azure Data Engineer (ETL Developer) (Azure): Developing ETL flows and data processing solutions using Azure Cloud stack with an accent on advanced data analytics, BI solutions, and big data technologies. Focus on designing data models, troubleshooting performance issues, and building reporting dashboards for petabyte-scale data.

Location: Remote

Company

Largest mobile operator in Ukraine building the biggest analytical cloud environment and Big Data/AI products.

What you will do

• Develop ETL flows using Azure technologies like Databricks, Azure Data Factory, Azure Data Lake, HD Insights, SQL DW, stream analytics, machine learning, and R server.
• Troubleshoot and optimize performance for data processing flows and data models.
• Build and maintain reporting models and dashboards.

Requirements

• 3+ years in database development (SQL, Azure SQL) – designing tables, stored procedures, queries.
• BI knowledge with data structures/models for designing/tuning solutions.
• Advanced data analytics with Databricks, Azure Data Factory, Data Lake, HD Insights, SQL DW, stream analytics, ML, R server.
• Knowledge of data formats, Hadoop, RDBMS/NoSQL, Kafka, Java/Scala/Python.
• Git/Bitbucket, PowerBI, TDD, automated testing, Docker/Kubernetes.
• English – strong intermediate.

Culture & Benefits

• Work on real Big Data projects with petabytes of data and billions of daily events.
• Competitive salary and professional development opportunities.
• Medical and life insurance.
• Friendly and collaborative environment.