Hero Moto Corp
New Delhi
Transport Equipment Manufacturing
Hero is hiring the sharpest brains to create the future of mobility.
Job Description:
Connects and models complex distributed data sets to build repositories, such as data warehouses, data lakes, using appropriate technologies. Manages data-related contexts ranging across addressing small to large data sets, structured/unstructured or streaming data, extraction, transformation, curation, modelling, building data pipelines, identifying right tools, writing SQL/Java/Scala code, etc.
Responsibilities:
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep data secure.
- Create data tools for analytics and data scientist team members.
- Work with data and analytics experts to strive for greater functionality data systems
Eligibility:
- Minimum of 6 years of hands-on experience with a strong data background.
- Bachelor’s degree in Computer Science or equivalent; Masters preferred.
- Extensive experience working with Big Data tools and building data solutions for advanced analytics.
- Practical knowledge across data extraction and transformation toolstraditional ETL tools (Informatica, Altryx)as well as more recent big data tools
- Knowledge in data architecture, defining data retention policies, monitoring performance, and advising any necessary infrastructure changes
- Solid development skills in Java, Scala, and SQL
- Clear hands-on mastery in big database systemsHadoop ecosystem, Cloud technologies (AWS, Azure, Google), in-memory database systems (HANA, Hazel cast, etc) and other database systemstraditional RDBMS (Terradata, SQL Server, Oracle), and NoSQL databases (Cassandra, MongoDB, DynamoDB)
- Comfortable in dashboard development (Tableau, Powerbi, Qlik, etc) and in developing data analytics models (R, Python, Spark)
Compensation: INR 15INR 25 LPA*
*The compensation/offer will be based on the total years of relevant experience, Skill/Competencies, Academic background, and the current compensation structure and will be decided on a case-to-case basis.
Application Deadline: 30/1/2022
Job Type: Full-time
Salary: ₹1,500,000.00₹2,500,000.00 per year
Schedule:
- Day shift
Experience:
- total work: 6 years (Required)
Work Remotely:
- Temporarily due to COVID-19
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