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Senior Technical Consultant (Data Engineer) - RDAF

O9Solutions Open
Bangalore Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at O9Solutions. Bangalore · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SenioritySenior
LocationBangalore
EmploymentFull-time
PostedSep 2, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain pipelines that bring data in and send it out, including high-volume integrations
  • Create transformations with Python, PySpark, SQL and SSIS, connecting customer systems through APIs or batch jobs
  • Inspect customer data and map its purpose, dependencies and end-to-end movement with functional teams
  • Support production releases, investigate data issues and restore disrupted batch jobs to meet customer SLAs
  • Guide junior consultants and check their code against quality practices

What you bring

  • At least three years in data architecture, data engineering or a related area
  • Hands-on Python, PySpark and SQL skills, with strong SQL query-writing ability
  • Experience with data modelling, ETL, cloud data platforms and workflow tools such as Airflow or SSIS
  • Knowledge of data formats and platforms including Parquet, JSON, REST APIs, HDFS or Delta Lake
  • Experience using GitHub or Azure DevOps, plus familiarity with Agile ways of working

Who this fits

This senior consulting role suits someone who can build data pipelines and coordinate technical work with functional teams. You’ll also provide technical guidance to junior consultants. The role is based in Bangalore, India.

From the employer

Transforming the Future of Enterprise Planning

At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster.

This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains.

Job Description

We are looking for a Senior Technical Consultant – 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.

Key Responsibilities

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.

Required Skills & Qualifications

  • 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.

More about us…

At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.

With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.

o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.