Job Description :
As a Data Engineer, you will develop a new data engineering platform that leverage a new cloud architecture and will extend or migrate our existing data pipelines to this architecture as needed.

You will also be assisting with integrating the SQL data warehouse platform as our primary processing platform to create the curated enterprise data model for the company to leverage.

You will be part of a team building the next generation data platform and to drive the adoption of new technologies and new practices in existing implementations.

You will be responsible for designing and implementing the complex ETL pipelines in cloud data platform and other solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making.

Interfacing with business customers, gathering requirements and developing new datasets in data platform

Building and migrating the complex ETL pipelines from on premise system to cloud

Identifying the data quality issues to address them immediately to provide great user experience

Extracting and combining data from various heterogeneous data sources

Designing, implementing and supporting a platform that can provide ad-hoc access to large datasets

Basic Qualifications:

Bachelors or Masters in Computer Science, Engineering, Mathematics, Statistics, or related field

3+ years relevant experience in data engineering.

Demonstrated ability in data modeling, ETL development, and data warehousing.

Advanced SQL experience is a must

Data Warehousing Experience with SQL Server.

Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch etc

Experience in using .Net,C# and/or other data engineering languages

Knowledge and experience of SQL Sever and SSIS.