Senior Manager

Axtria - Ingenious Insights

Dadri

On-site

INR 3,000,000 - 4,500,000

Full time

14 days+

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Job summary

Axtria - Ingenious Insights is seeking a Senior Manager – Data Engineering to oversee the development, implementation and maintenance of data warehousing solutions using ETL technologies. You will lead a mid-sized team and drive architecture decisions across AWS, Snowflake, Databricks and BI reporting.

The role requires strong SQL expertise, hands-on data modeling, and a track record of delivering data products and analytics-ready data stores to support AI initiatives.

Qualifications

  • Strong SQL and data modeling skills.
  • Expertise in data warehousing and data integration fundamentals.
  • Experience leading mid-sized data teams and delivering data products.
  • Proficiency with cloud data services (Snowflake, AWS/Azure).
  • Experience with BI tools (Power BI, Tableau, Qlik).

Responsibilities

  • Oversee development, implementation and maintenance of data warehousing systems.
  • Lead architecture and delivery of complex data stores and data pipelines.
  • Design data products to support advanced analytics and AI capabilities.
  • Manage a team: planning, coaching and career growth.
  • Collaborate with stakeholders to deliver data-driven solutions.

Skills

SQL
Data Warehousing
Data Integration
Team management
Leadership

Education

Bachelor's degree in a relevant field

Tools

Snowflake
AWS
Azure
Databricks
PowerBI
Tableau
JasperReports
QlikView/QlikSense

Job description

Job Title:

Senior Manager – Data Engineering

Job Location:

Gurgaon/Noida/Bangalore/Pune/Hyderabad

Job Summary:

This role will be responsible for overseeing the development, implementation and maintenance of Datawarehousing systems and processes using ETL technologies and troubleshooting any potential issues.

Job Responsibilities:
  • Redesigning and implementing a next gen Data engineering solution for a large pharma
  • Integration of acquired brands into the eco system
  • Design and implement data products to support advanced analytics and AI capabilities
  • Hands on experience in the design of reporting schemas, data products, data marts and ARDs
  • Technology Leadership – Independently he/she should be able to architect, design, implement deliver complex Databases/Data Warehousing/Data Lake, Data Integration and BI/Reporting/MDM Solutions.
  • Work with stakeholders to understand business objectives and develop value‑added data driven solutions, frameworks and reporting solutions.
  • Architecture/Technical Design and Development – Expertise on AWS, Snowflake, Databricks, PowerBI, Data governance tools
  • Lead requirements gathering and research, proposes technology solutions, and develops solutions within agreed upon timelines. Understand the underlying data and flow of data.
  • Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must.
  • Troubleshoot and resolve data quality issues, database performance issues, database capacity issues, replication and other distributed data issues
  • Create and maintain project plans
  • Team management : planning, grooming, upskilling, motivation and career growth
  • Automation and continuous improvement
  • Client engagement including requirements management, user acceptance
Job Requirements:
  • Overall, 10+ years of rich experience in the Pharmaceutical / Life Sciences Domain.
  • Should have expertise and working experience on Snowflake, AWS/Azure cloud stack
  • Should be able to handle a mid size team.
  • Should have strong Data Warehousing, Reporting and Data Integration fundamentals.
  • Advanced expertise with SQL
  • Experience on AWS/Azure cloud data stores and it’s DB/DW related service offerings.
  • Should have knowledge and experience of Big Data Technologies (Hadoop ecosystem) and NO SQL databases.
  • Should have technical expertise and working experience in at least 2 Reporting tools among Power BI, Tableau, Jasper soft and QlikView/QlikSense
Skills that give you an edge:
  • Work experience on statistical modeling and/or AI/ML models, agentic AI use cases
  • Snowpro certification
  • Claude certification
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