Senior Data Engineer (Mumbai)

Senior Data Engineer (Mumbai)

01 Sep
|
o9 Solutions
|
Mumbai

01 Sep

o9 Solutions

Mumbai

Role: Senior Technical Consultant (Data Engineer) - RDAF/MFG Location: Bangalore, Hybrid

About the role... We are looking for a

Senior Technical Consultant – RDAF/MFG

with strong experience in

data engineering, ETL pipelines, and cloud-based data platforms . The role involves designing and implementing data ingestion and transformation pipelines, collaborating with functional teams, and ensuring seamless data integration across multiple systems.

What you will do in this role: Advanced Execution & Data Management Manage and execute complex project tasks related to

data ingestion, transformation, validation, and publishing . Review and analyze data provided by customers, understanding its

technical and functional intent along with dependencies . Work closely with functional teams to understand

end-to-end data flows and integration requirements . Data Integration & Pipeline Development Build and maintain

data ingestion and egress pipelines

capable of handling

large volumes of data . Develop

data transformation functions

using technologies such as

Python, PySpark, SQL, and SSIS . Integrate data from various sources including

Teradata, SAP ERP, SQL Server, Oracle, Sybase, ODBC connectors, and flat files

using

API or batch integrations . Production Deployment & Hypercare Support

production deployment activities . Assist in

issue triaging, testing, and root cause analysis . Resolve

batch automation disruptions

in a timely manner to ensure

customer SLA compliance and accurate data delivery . Technical Leadership Provide

technical guidance to junior consultants

and review their code to ensure alignment with

best practices and quality standards . Follow and promote

o9 ways of working and industry standards

for efficient project execution.

What you’ll have... 3+ years of experience

in

Data Architecture, Data Engineering, or related fields . Strong experience in

data modelling, ETL processes,



and cloud-based data platforms . Hands-on experience with:

Python, PySpark, SQL Experience with workflow management tools such as

Airflow and SSIS . Experience working with

Parquet, JSON, RESTful APIs, HDFS, Delta Lake , and query frameworks such as

Hive and Presto . Strong

SQL expertise , including query writing and working with relational databases. Experience with

version control platforms such as GitHub or Azure DevOps . Familiarity with

Agile development methodologies . Strong

problem-solving skills and a proactive learning mindset . Excellent

verbal and written communication skills . Good to Have Hands-on experience with

Delta Lake . Experience working with

Supply Chain Planning applications . Exposure to

cloud platforms such as AWS, Azure, or Google Cloud .

What we’ll do for you: Flat organization: With a very strong entrepreneurial culture (and no corporate politics). Outstanding people and unlimited fun at work. Possibility to really make a difference in a scale-up environment. Support network: Work with a team you can learn from every day. Diversity: We pride ourselves on our international working environment. DavOs Insight (Turning VUCA into value with Neuro-Symbolic AI): https://l1nk.dev/ngQoe Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://www.youtube.com/watch?v=O6B2lEJl2oI

How the process works... Setup &

Create your profile in Workday to track the status

-

Link to apply..

If already done, kindly ignore! Respond with your interest to us. We’ll contact you either via video call or phone call - whatever you prefer, with the further schedule status. During the interview phase, you will meet with the technical panel for 60 minutes. We will contact you after the interview to let you know if we’d like to progress your application. There will be 2 rounds of technical discussion followed by a Managerial round. We will let you know if you’re the successful candidate. Good luck!

📌 Senior Data Engineer (Mumbai)
🏢 o9 Solutions
📍 Mumbai

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