Nineleaps employs AI stratagems to help global organizations breathe and oxygenate data into valuable outcomes across product and platform engineering functions.

We thrive by taking ownership of our client's problems and delivering high-performance business applications utilizing unique solutions with Cloud, AIOps, our NineX development platform, and other proprietary frameworks that have helped Global Startups and Fortune 500 companies experience value-driven collaboration with us.

We nurture talented professionals into thought leaders and valuable industry professionals. We value our employees' happiness and promise to provide them with stable and enriching career paths while helping them evolve into their best version.

Primary Responsibilities :

- Experience in Big data Distributed ecosystems : Hadoop, Hive

- Excellent knowledge of HQL/PrestoQL : Optimisations, complex aggregations, performance tuning

- Experience building data processing frameworks, and big data pipelines.

- Solid understanding of DWH architecture, ELT/ETL processes, and data structures

- Basic Understanding of Python :- ETL

- Keep the SLA of maintained datasets(Tier 1, 2) to above 99%. (On-call)

- Maintain the SLAs for Tier 3 tables.

- Design, develop and deploy high volume ETL pipelines to manage complex and near-real time data collection

- Work with data management team and project leads

Required Skills :

- 4-6 years of experience in Data Engineering

- Minimum 3 years experience working in SQL, Python & Big data tools

- Solid understanding of HTML5, CSS3, and responsive design principles.

- Fluency in communicating data insights (Methods, Results & Actions) with the peer group