Senior Data Engineer
1 day ago
Role & responsibilities
Understand the business requirements for analytics and data interpretation
Understands requirements and is involved in the discussions relating to technical and functional design of
the sprint/ module/project
Design and implement end-to-end data solutions (storage, integration, processing, visualization) in Azure.
Used various sources to ingest data into Azure Data Lake Storage (ADLS) such as SQL Server, Excel, Oracle,
SQL Azure etc.
Extract data from one database and load it into another
Build data architecture for ingestion, processing, and surfacing of data for large-scale applications
Use many different scripting languages, understanding the nuances and benefits of each, to combine
systems
Research and discover new methods to acquire data, and new applications for existing data
Work with other members of the data team, including data architects, data analysts, and data scientists
Prepare data sets for analysis and interpretation
Perform statistical analysis and fine-tuning using test results
Create libraries and extend the existing frameworks
Create design documents basis discussions and assists in providing technical solutions for the business
process
Preferred candidate profile
In-depth understanding of database management systems, online analytical processing (OLAP) and ETL
(Extract, transform, load) framework
Knowledge in Azure SQL Database, Azure Data Lake, Azure Data Factory(ADF), Azure Blob Storage.
Recreate existing application logic and functionality in the Azure Data Lake, Data Factory, SQL Database and
SQL data warehouse environment.
Demonstrates strong technical leadership by making architectural decisions and
guiding the team in data pipeline design.
Communicates effectively with stakeholders to align on technical requirements across
product, analytics, and infrastructure teams.
Provides mentoring and technical guidance to mid-level and junior members to support
their skill development.
8-10 Years of experience.
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