Job Description :
Senior Data Engineer/Talend Developer



Reading PA

Long Term





Expectations & Responsibilities



Expertise in building data pipelines, data ingestions , data integrations , data preparations, NLP''s and traditional Data-warehouse/BI systems across multiple projects.
Expertise in designing, validating and implementing multiple projects (BI & Analytical) across the hybrid infrastructure (On-cloud to On-Premise and vice versa)
Required to involve and participate in data architecture, data modeling, statistical modeling and regression analysis.
Research and discover new methods to acquire data, store data and explore various file formats.
Required to collaborate and work with multiple team members between various teams and mentor junior team members.
Prepare functional, technical design documentation for application development
Involve in Architecture review and guidance on best practices
Willing to work across multiple Data Engineering platforms and projects.




Desired Skills & Experience



Ten plus years in Data Engineering (BI/DWH/ETL) Development experience, at least 4-5 years with Talend and Big Data.
Candidate should be comfortable working with Talend Data Mapper, Micro services, CICD workflow and complex transformation components.
Manage Talend code artifacts using repository tools such as Git/SVN
Well versed with deploying, migrating, and publishing code in Talend Environments
Should have experience integrating on premise sources with anyone of the Cloud platform : AWS/GCP/Azure
Experienced in database solution languages, especially SQL, Cassandra, and Big table. In addition, minimum experienced with traditional databases like Oracle, SQL Server and IBM Iseries.
Experienced with Hadoop-based analytics, such as HBase, Hive, Pig, Map Reduce and Apache Sqoop and Apache Spark.
Experienced with multiple operating systems, especially UNIX, Linux, Solaris and some cloud platforms.
Proficiency in languages, especially R, SAS, Python, C/C++, Ruby Perl and Java