Highly Skilled Data Architectural Lead

1 day ago

Gurgaon, Haryana, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 28,00,000
Senior Data Engineer Position

A company is seeking a highly skilled Senior Data Engineer to work closely with its dynamic project teams. The successful candidate will be responsible for strategic planning and hands-on engineering of Big Data and cloud environments that support clients' advanced analytics, data science, and other data platform initiatives.

The Senior Data Engineer will design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be technically proficient, present to leadership, and lead projects.

Roles and Responsibilities:
  • Design, build, operationalize, secure, and monitor data processing systems
  • Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
  • Implement custom applications using tools such as Kinesis, Lambda, and other cloud native tools as required to address streaming use cases
  • Engineer and maintain data structures including but not limited to SQL and NoSQL databases
  • Engineer and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)
  • Engineer APIs for returning data from these structures to the Enterprise Applications
  • Leverage the right tools for the right job to deliver testable, maintainable, and modern data solutions
  • Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
  • Work with other scrum team members to estimate and deliver work inside of a sprint
  • Research data questions, identify root causes, and interact closely with business users and technical resources
Qualifications:
  • 8+ years of professional technical experience
  • 4+ years of hands-on Data Architecture and Data Modelling
  • 4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
  • 4+ years of programming languages such as Python
  • 2+ years of experience working in cloud environments (AWS and/or Azure)
  • Strong client-facing communication and facilitation skills
Key Skills:
  • Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Snowflake, SQL/RDBMS, OLAP, Data Engineering

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