Lead Data Engineer

2 weeks ago

bangalore, India Spectrum Consultants India Private Limited Full time
Lead Data Engineer Summary
Experience Required:
10 - 15 Years
Job Term:
Permanent
Location:
Bangalore
Category:
Software Development
KBS India serves as a hub for innovation supporting operations for Koch companies: Georgia-Pacific, Molex, Guardian, INVISTA, Koch Ag & Energy Solutions, Koch Minerals and Trading, Koch Business Solutions, KES, etc., Specialties of Koch Business Solutions India (KBSI) include
•ERP – Services
•Quality Engineering/Testing Services
•IT Infrastructure Services
•Application Services
•Data & Analytics
•Finance, Supply Chain
•Customer Service
•Reporting
•PMO
•Transformation
•HR Solutions
•and Market Research
The Lead Data Engineer will be a part of KGSI team that designs, develops, and delivers data engineering solutions leveraging the latest data engineering technologies for Koch Industries. Koch Industries is a privately held global organization with over 120,000 employees around the world, with subsidiaries involved in manufacturing, trading, and investments. Koch Technology Center (KTC) is being developed in India to extend its IT operations, as well as act as a hub for innovation in the IT function. As KGSI rapidly scales up its operations in India, it’s employees will get opportunities to carve out a career path for themselves within the organization. This role will have the opportunity to join on the ground floor and will play a critical part in helping build out the KGSI (Koch global services india) over the next several years. Working closely with global colleagues would provide significant global exposure to the employees.
The Lead Data Engineer will report to the Data Engineering & BI Lead of the KGSI and will be responsible to develop and implement a future-state data analytics platform for both the back-end data processing and the front-end data visualization component for the Finance Data Delivery teams. This will be a hands-on role and the candidate will be responsible for designing & development of data frameworks.
A Day In The Life Could Include:
(job responsibilities)
•Be part of the data team to design and build a data engineering solutions.
•Implement batch and near real time data movement design patterns and define best practices in data engineering.
•Design and develop optimal cloud data solutions (lakes, warehouses, marts, analytics) by collaborating with diverse IT teams including business analysts, project managers, architects, and developers.
•Work closely with a team of data architects, data engineers, BI developers and data analysts to procure, blend and analyze data for quality and distribution; ensuring key elements are harmonized and modeled for effective analytics, while operating in a fluid, rapidly changing data environment
•Build data pipelines from a wide variety of sources
•Demonstrate strong conceptual, analytical, and problem-solving skills and ability to articulate ideas and technical solutions effectively to external IT partners as well as internal data team members
•Work with cross-functional teams, on-shore/off-shore, development/QA teams/Vendors in a matrixed environment for data delivery.
•Strong troubleshooting skills.
•Update and maintain key data cloud solution deliverables and diagrams
•Ensure conformance and compliance using KGSI architecture guidelines and enterprise data strategic vision
What You Will Need To Bring With You:
(experience & education required)
•Bachelor’s degree in Computer Science, Engineering, or related IT area with at least 10+ years of experience in software development.
•Primary Skill set: Data Engineering, Python (Especially strong in Object oriented Programming concepts), AWS (Glue, Lambda, EventBridge, Step functions and serverless architecture),Columnar DB(Redshift or Snowflake)
Secondary Skill set: Working with APIs, Spark, GIT/CICD, SQL,SPARK,STEP FUNCTIONS
•At least 5+ years of hands-on experience in designing, implementing, managing large-scale and ETL solutions.
•2+ Years of experience in the people management
•At least 3 years of hands-on experience in data modelling, data engineering, ETL, multi-dimensional data warehouses, cubes, with expertise in relevant languages and frameworks like SQL, Python etc.
•Hands on experience with designing and fine-tuning queries in Columnar DB(Redshift or Snowflake)
•Understanding of common DevSecOps/DataOps and CICD processes, methodologies, and technologies like GitLab, Terraform etc
•Be able to analyze large complex data sets to resolve data quality issues
What Will Put You Ahead:
(experience & education preferred)
•AWS certifications like Solution Architect (SAA/SAP) or Data Engineering Associate (DEA)
•Hands-on experience with AWS data technologies and at least one full life cycle project experience in building a data solution in AWS.
•Exposure to visualization tools, such as Tableau or PowerBI.
•Exposure with OLAP technologies and Data Virtualization (using Denodo)
•Knowledge on manufacturing domain is preferable

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