Data Analytics Architect

Overview:
**Data Engineer**

Chemours is seeking a Data Engineer to join our growing Data team. This is a key role within the Company based in Gurgaon India, and reports to the Manager Data Analytics in our Gurgaon Office. Our data team is responsible for driving digital technologies process improvement and innovation through the use of data analytics, visualization and process automation for Chemours. The team works closely across all businesses and functions in the organization.

**JOB SUMMARY**

**The responsibilities of the position include, but are not limited to, the following**:
-The hire will be responsible for expanding and optimizing our data and data pipeline architecture.

-Optimizing data flow and collection for cross functional teams.

-The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

-They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

**Responsibilities for Data Engineer**

-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 Azure ?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 our data separated and secure across national boundaries through multiple data centers and AWS regions.

-Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

-Work with data and analytics experts to strive for greater functionality in our data systems.

-Experience with Docker containers and Kubernetes.

**Qualifications for Data Engineer**

-Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

-Experience building and optimizing ?big data? data pipelines, architectures and data sets.

-Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

-Strong analytic skills related to working with unstructured datasets.

-Build processes supporting data transformation, data structures, metadata, dependency and workload management.

-A successful history of manipulating, processing and extracting value from large disconnected datasets.

-Working knowledge of message queuing, stream processing, and highly scalable ?big data? data stores.

-Strong project management and organizational skills.

-Experience supporting and working with cross-functional teams in a dynamic environment.- Experience with relational SQL and NoSQL databases.

-Optional skills- Experience with data pipeline and workflow management tools: Azure ADF, Azkaban, Luigi, Airflow, etc.
- Experience with native cloud services: Azure cloud native apps
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.