Technical Lead
Experience : 8+ years
Qualification : B.E. Computer Science / IT degree (or any other engineering discipline)
Work Timings : 2 PM to 11 PM IST
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 APIs.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.(ref : hirist.tech)