Technical Lead

1 week ago


Delhi, Delhi, India WebMD Full time

Position Requirements:

Essential:
7+ years of experience using Data Integration

Tools - Pentaho, Talend Or any other ETL/ELT tools.
7+ years of experience using traditional databases like

Postgres, MSSQL, Oracle
4+ years of experience using MPP databases like

Vertica, Google BigQuery, Amazon Redshift
3+ years of experience in creating Entity-Relationship & Dimensional Data Model.
2+ years of experience in Scheduler/Orchestration Tools Like Control-M, Autosys, Airflow, JAMS
2+ years of experience in leading a team of 2 or more
Strong implementation experience with

ETL/ELT Strategies - determining heavy lifting of data using Push Down Or Push Up methods .
Strong infrastructure architecture/administration knowledge on ELT/ETL Tools - Memory Management, Resource Management, User/Role Management, Performance improvement.
Strong implementation or working experience in any Code Versioning Tools
Strong communication and documentation skills.
Experience in collaborating with multiple business units like Finance, Marketing, Sales
Experience of working in Agile Delivery Model.

Desirable:
Experience in

Data Visualization Tools like Tableau, Pentaho BA Tools .

Experience on the Hadoop ecosystem - Programmed or worked with key data components such as HIVE, Spark and Sqoop moving and processing terabyte level of data.

Digital Marketing/Web analytics or Business Intelligence a plus.
Understanding of Ad stack and data (Ad Servers, DSM, Programmatic, DMP, etc).
Knowledge of scripting languages such as Perl or Python.
Experience in the Linux environment is preferred but not mandatory.

Role & Responsibilities:


Architect/Design, Develop & Support multiple Data Engineering projects with heterogeneous data sources, produce/consume data to/from messaging queues like Kafka, push/pull data to/from REST API's.

Support & Enhance in-house build Data Integration Framework, Data Replication Framework, Data Profiling & Reconciliation Framework.
Support, Enhance & Lead Data Engineering Initiatives, Infrastructure & Architecture.
Engage/establish best standard practices with third party data providers.
Translate complex technical subjects into terms that can be understood by both technical and non-technical audiences.
Providing direction and guidance to a team of 2 or more - solving problems and resolving conflicts.

Interested candidates can revert me with their updated resumes on
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