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Senior Data Engineer

4 months ago


Anywhere in IndiaMultiple Locations, IN Calyptus Full time

Responsibilities :

- Collaborating with business teams to design systems architecture

- Design and implement robust, scalable, and optimized data architectures.

- Lead the development and maintenance of scalable data pipelines and build out new integrations to support continuing increases in data volume and complexity.

Pipeline ownership :

- Develop integrations with third party systems to source, qualify and ingest various datasets.

- Develop data set processes for data modeling and production.

- Recommend and implement ways to improve data reliability, efficiency, and quality.

Data strategy and execution :

- Work with stakeholders including the Marketing, Product, Analytics, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

BI and data tool enablement :

- Enable data analytics and visualization tools to extract valuable insights from the data to enable data-driven decisions

Innovation and improvement :

- Keep up-to-date with the latest industry trends in data engineering.

- Explore new technologies and approaches for continuous improvement of data systems.

Collaboration and communication :

- Work closely with analytics and business teams to define and refine data requirements for various data and analytics initiatives.

- Ensure clear communication of project progress and results to stakeholders.

- Collaborate with data engineers across the wider organization stack and ecosystem to enable open source and publicly available datasets.

Skills :

- 4+ years of professional data engineering experience

- Advanced working knowledge of SQL, Python, and experience with relational databases

- Experience in building and optimizing 'big data' data pipelines, architectures, and data sets

- Experience with big data tools: Hadoop, Spark, Kafka, etc.

- Experience with workflow orchestration management such as Airflow, dbt etc.

- Experience with Cloud Services such as Google Cloud Services, AWS, etc.

- Strong analytic skills related to working with unstructured datasets, we are looking for an engineer who can understand the business and how to build to requirements

- Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment

- Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up

- Experience with web3 and blockchain protocols is a plus

(ref:hirist.tech)