Senior Data Engineer
IndiaMART InterMESH Ltd
Noida
9d ago

Role :

This job will be an ideal fit for a talented data centric engineer, architect or developer who can lead a

complete data management and analytics section, to meet the BI demand for a growing internet

company. You will be working on very large datasets, databases and applications including Spark, S3,

AWS, Hadoop, GCP, Tableau, Power BI etc.

Key Responsibilities :

Lead the architecture, design, and development of components and services to enable data

management and analytics at scale within an enterprise context, and using latest cloud platforms

Identify and recommend the most appropriate paradigms and technology choices across all

aspects of data management and analysis

Transform existing legacy data assets by analysing existing data structures, business logic and

APIs, and utilize suitable patterns to unlock data and functionality

Analyze requirements and estimate effort, timeline, dependencies and risks

Actively participate in discussions on design and architectural approach with current system

architects.

Coordinate development work and hold technical discussions with other team members

contributing to the project.

Create technical specifications and design documents as per the project need.

Partner with cross-functional teams of internal as well as external architects, engineers, analysts,

PMs, and customers. This would also include stakeholders from across technology functions such

as SAO, DB-Admin, Server Admin etc.

Mandatory :

Should possess 6+ years of relevant experience in the IT services or software development

industry.

Demonstrated experience in leading data centric development teams from idea to

implementation within complex organisations.

Deep hands-on experience of modern data analytics, big data approaches and technologies, such

as Hadoop, Spark, Kafka.

Experience in data modelling, data design and persistence (e.g. warehousing, data marts, data

lakes).

Experience in data management best practices, real-time and batch data integration, and data

rationalization.

Wide experience with relational, non-relational and legacy databases, ETL and data warehousing.

Experience with data services from leading cloud platforms (Microsoft Azure, Google Cloud,

Amazon Web Services).

Experience in creating and using data centric web services

Excellent communication and documentation skills

Experience in integrating end-to-end data solutions

Strong business acumen and problem-solving skills

Must have lead a team of technology professionals

Salary : Not Disclosed by Recruiter

Industry : IT-Software / Software Services

Functional Area : Analytics & Business Intelligence

Role Category : Analytics & BI

Role : Business Analyst

Employment Type : Permanent Job, Full Time

Keyskills

Desired Candidate Profile

Please refer to the Job description above

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