Description
We are seeking a Data Engineer with a focus on Data Analyst, who will be responsible for analyzing data sources, preparing and cleaning data, and developing ETL processes using various bank tools. We offer career growth in both Data Engineering and Data Analytics.
Responsibilities
- analysis of data structures in various sources and formats, assessing their suitability for specific business tasks
- loading, processing, and transforming large volumes of data into work environments (PostgreSQL, Hadoop)
- designing and creating analytical data marts
- preparing and preprocessing data for machine learning model training
- monitoring and optimizing data processing and loading workflows
- controlling input data quality and automating data quality checks
- developing infrastructure and internal services for efficient processing of large data volumes
- automating repetitive data operations
- creating technical documentation and maintaining knowledge bases on data operations
- consulting internal company users on data usage.
Requirements
- higher education
- at least 2 years of experience as a Data Engineer, Data Analyst, or ETL Developer
- advanced SQL proficiency (analytic functions, subqueries, stored procedures, query performance)
- hands-on experience with large data volumes in relational DBMS (Oracle, Teradata, MS SQL, GreenPlum)
- understanding of the concept and principles of Data Warehouse (DWH) organization
- experience with the Hadoop technology stack (HDFS, YARN, Hive) and Apache Spark
- programming experience in Java/Scala
- understanding of the basic principles of building distributed data storage and processing systems.
Will be a plus:
- experience in designing data marts
- experience in migrating and integrating large data volumes between different sources
- proficiency with version control systems (e.g., Git)
- basic knowledge and interest in developing in Machine Learning and Data Analysis
- familiarity with ETL processes and Data Warehouse (DWH) technologies.
Conditions
- office near Kutuzovskaya metro station
- work schedule 5/2 from 9:00 AM to 6:00 PM
- annual salary review, annual bonus
- flexible mortgage discount equal to 1/3 of the Central Bank key rate
- corporate gym and relaxation zones
- over 400 educational programs from SberUniversity for professional and career development
- adaptation program and manager support at the start
- extended VHI (Voluntary Health Insurance), preferential insurance for family, and corporate pension program
- free SberPrime+ subscription, discounts on products from partner companies
- referral bonus for recommending friends to the Sber team.
