Manager - Incubation Solutions

Broad outline of the Role

• Responsible for different aspects of engineering activities to provide differentiated services and solutions. These may also include product evaluation, solution designing and testing and roll out plan for existing and new services, including design of tools needed for operation of these new services and systems. This is an operational role, responsible for delivering results that have direct impact on day-to-day engineering operations in the respective areas of Network/SDWAN/Cloud and security/Unified Collaboration/Mobility and IoT.

Purpose - Broad objective of the role

This role will be responsible for leading the data engineering team. The Person will be responsible for the Architecture and Implementation of the data pipelines for solutions in IOT, Telemedicine, Private 5G & Edge/ Cloud solutions including solution lifecycle, and documentation

Minimum qualification & experience

•    Previous experience as a data engineer or in a similar role.
•    5G or telco experience is preferred
•        Technical expertise with data models, data mining, and segmentation techniques
•        Experience of 2-3 yrs in programming languages and/or scripting (e.g. Java and Python)
•        Hands-on experience with SQL database design
•        Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
•        Strong analytic skills related to working with unstructured datasets.
•        Post Graduate Degree in Computer Science, IT, or similar field; a MS/M.Tech is a plus
•        Data engineering certification (e.g IBM Certified Data Engineer) is a plus
•        Experience with big data tools: Hadoop, Spark, Kafka, etc.
•        Experience with relational SQL and NoSQL databases, including PostgreSQL, Hive, HBase and Cassandra.
•        Experience with data pipeline orchestration and workflow management tools: Apache Airflow, Apache NiFi etc.
•        Experience with AWS cloud services: EC2, EMR, RDS, Redshift
•        Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    Experience with scripting and/or programming languages: Python, Java, Scala, etc
 

Other knowledge/skills

1. Proactive and open: As a team, we embrace new ideas, challenges and change with positivity and a hands on approach 
2.    A person with strong written communication skills especially related to articulating technical specifications

Key Responsibilities

•    Architect, design, and implement data pipeline including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
•    Work with stakeholders including the Executive, Product, Data science and Design teams to assist with data-related technical issues and support their data infrastructure needs.
•    Analyse and organize raw data from different sources.
•    Build data systems and pipelines
•    Conduct complex data analysis and report on results 
•    Prepare data for analytics, prescriptive and predictive modelling
•    Explore ways to enhance data quality and reliability
•    Implement data security policies    

Knowledge / Skills