大数据经理

In your work, you will advise clients on their data strategy, design solution architectures and lead teams in their journey to continuously develop and deploy these platforms.

Job Description:

• Building, leading and growing a world-class Big Data and Machine Learning Team.

• Provide cloud practice adoption, technology expertise, and process optimization blueprints for enterprise initiatives.

• Aligning the Big Data and Machine Learning product and service roadmap with the overall company strategic goals and technical vision.

• Acting as a strategic technology partner and service provider for our Big Data and Machine Learning business segments and related technology by developing and delivering on Big Data and Machine Learning technology roadmap.

• Partnering with business segment and technology platform product management to ensure the proper positioning and adoption of cloud infrastructure technology products and services.

• Lead a team of data engineers and guide them with the best data strategies in line with data needs.

• Identifying, designing, and implementing process improvements that include building/re-engineering data models, data architectures, pipelines, and data applications.

• Continuously look for data optimization processes and oversee data management, governance, security, and analysis for each project.

• Build team, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions.

• Manage data delivery through high-performing dashboards, visualizations, and reports for our clients.

• Ensure data quality and security across every product vertical and related areas.

• Design, create and launch new data models and pipelines as per needs.

• Act as a mentor and grow the team by hiring skilled data engineers.

• Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system.

• Mentor and grow data warehouse, data modeling, and data visualization team to correctly establish a data-driven culture.

• Utilize tools and technologies to create data architecture that supports new data initiatives and is useful in next-gen products.

• Ensure test-driven products/pipelines that are easily maintainable and reusable.

• Design and build an infrastructure for extraction, transformation, and loading of data from a wide range of data sources.
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Requirements:

• Minimum 5 years of experience related to Big Data or Machine Learning.

• Have a good understanding of Databases (RDBMS, NON-RDBMS).

• Have a good understanding of ETL/ELT.

• Have a good understanding of Data and Business Analytics.

• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.

• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala

• Experience with Spark.

• Experience with integration of data from multiple data sources.

• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.

• Knowledge of various ETL techniques and frameworks, such as Flum

Originally posted on Himalayas