Moving Walls India: Data Engineer — Chennai, TN, India
Moving Walls India lists a Data Engineer opening in Chennai, TN, India. The position is listed as full-time. The job description covers Python, Java, C++, SQL, AWS, process improvement, project management.
Recruitment overview
| Organisation | Moving Walls India |
|---|---|
| Post / role | Data Engineer |
| Employment type | Full-time |
| Notification / job ID | REF2Y |
| Job location | Chennai, TN, India |
| Work arrangement | On-site |
| Educational qualification | See the employer’s role-specific qualification criteria |
| Experience required | A candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Moving Walls India
Moving Walls is a media technology company focusing on out-of-home, or OOH, advertising. Its platform helps advertisers and agencies plan, buy and measure physical outdoor media campaigns, applying audience data and analytics to advertising placed in public spaces. Headquartered in Singapore, the group also operates in India, where Moving Walls India handles client-servicing and campaign work for domestic and regional brands.
The position and its setting
Moving Walls India lists Data Engineer in Chennai, TN, India, under reference REF2Y. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Employment type: Full-time
- Employer listing date: 4 February 2022
- Brands: Moving walls India Pvt ltd
Responsibilities and work described
- Create and maintain optimal data pipeline architecture,
Essential requirements and candidate background
- 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 AWS ‘big 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
- 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
- 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
- Knowledge: message queuing, stream processing, and highly scalable ‘big data’ data stores
- Project management and organizational skills
- Experience supporting and working with cross-functional teams in a environment
- A candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- They should also have experience using the following software/tools:
- Experience: big data tools: Hadoop, Spark, Kafka, etc
- Experience: relational SQL and NoSQL databases, including MongoDB, Postgres and Cassandra
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: Chennai, TN, India
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Data Engineer vacancy is not an offer for reference REF2Y; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Moving Walls India
Applications follow the official employer page linked below.
Open the official Moving Walls India posting below and match the title and reference REF2Y.
Compare your qualifications and experience with the essential conditions for the Chennai, TN, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: Python
Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.
Relevant skills
- Python
- Java
- C++
- SQL
- NoSQL
- Hadoop
- Spark
- Kafka
- AWS
- process improvement
- project management
- stakeholder management
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
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