Data Engineer - Product Based US Company

Hi Candidate, 
Greetings of the day!

We are excited to share a fantastic opportunity for a Data Engineer position at Product Based US Company .

If you have a strong background in data engineering and are passionate about building scalable data systems, this role could be a perfect fit for you.

Job Summary:

Data Engineer will be responsible to Develop set processes for data mining, data modeling, and data production. Develop and maintain scalable data pipelines and build out new integrations to support increases in data volume and complexity. Employ an array of technological languages and tools to connect data sets. Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Job Title: Data EngineerJob Location : BengaluruJob Type: Permanent - Full time (UK Shift  12:30pm - 9:30pm)Top Skills: SQL, Spark, Java/PythonCab - Available within 10 km radius within Bengaluru.

Key Responsibilities:

• Work in collaboration with IT infrastructure, Business teams, and team members to create/develop and maintain optimal data pipeline architecture, assembling large and complex data sets from various business sources (like ERP systems).
• Work with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. 
•  Write integration tests and document work.  
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. 
• Define data assets (data models) and methodologies to populate data models. 
•  Design data integrations and data quality framework.   
•  Construct, install, test and maintain data management systems.   
•  Build high-performance algorithms, predictive models, and prototypes.  
• Integrate up-and-coming data management and software engineering technologies into existing data structures. 
• Research new uses for existing data.  

Required Skills & Qualifications:

• Bachelor's/Master's in Computer Science, Information Management/Science, or comparable professional area.
•  3- 5 years of programming experience in one or more languages like JAVA,python,scala etc   
• Conceptual understanding of distributed computing principles and frameworks like Hadoop, MapReduce etc.
• Basic understanding and practical exposure to distribution processing frameworks like Apache Spark.
• Good understanding about relational database concepts and handson on SQL 
•  Working SQL knowledge and experience working with relational databases.
•  Familiarity with data pipeline and workflow management tools: Airflow,Oozie etc.   
•  Knowledge of frameworks like Spring microservices and Rest Service APIs and build tools like maven, gradle etc.
•  Nice to Have: Exposure to any ETL tool and any cloud stack.   

  Essential Physical Demands/Work Environment :1)  Comfortable in working in a cross-cultural and matrix environment.2)   Familiar with working in agile driven teams

Interview Process:

The interview process consists of 5 rounds:

1. Virtual Round 1  Technical AI  Interview ( Conducted by Zi-Interview)
2. Virtual Round 2  Technical interview with Client.
3. Virtual Round 3   Technical interview with Client
4. F2F Round 1 – Techno Managerial Interview.
5. F2F Round 2 –  HR Round

Thanks and Regards

Priyanka Sondhi,

Sr.Human Resource

priyanka@riktamtech.com

Riktam Technology Consulting Pvt. Ltd.,
Tel.+91 6284877155 (India)
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