Manager/Senior Manager- ETL (Pharma)

8 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Purpose:

We are looking for a highly skilled and experienced Data Engineering professional to lead our data engineering team. The ideal candidate will possess a strong technical background, strong project management abilities, and excellent client handling/stakeholder management skills. This role requires a strategic thinker who can drive the design, development and implementation of data solutions that meet our clients’ needs while ensuring the highest standards of quality and efficiency.


Job Responsibilities

  • Technology Leadership – Lead guide the team independently or with little support to design, implement deliver complex cloud-based data engineering / data warehousing project assignments
  • Managing projects in fast paced agile ecosystem and ensuring quality deliverables within stringent timelines
  • Responsible for Risk Management, maintaining the Risk documentation and mitigations plan.
  • Drive continuous improvement in a Lean/Agile environment, implementing DevOps delivery approaches encompassing CI/CD, build automation and deployments.
  • Communication & Logical Thinking – Demonstrates strong analytical skills, employing a systematic and logical approach to data analysis, problem-solving, and situational assessment. Capable of effectively presenting and defending team viewpoints, while securing buy-in from both technical and client stakeholders.
  • Handle Client Relationship – Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills.


Work Experience

  • Should have expertise and 8+ years of working experience in at least two ETL tools among Matillion, DBT, Pyspark/python, Informatica, and Talend
  • Should have expertise and working experience in at least two databases among Databricks, Redshift, Snowflake, SQL Server, Oracle
  • Should have strong Data Warehousing, Data Integration and Data Modeling fundamentals like Star Schema, Snowflake Schema, Dimension Tables and Fact Tables.
  • Strong experience on SQL building blocks. Creating complex SQL queries and Procedures.
  • Experience in AWS or Azure cloud and its service offerings
  • Aware of techniques such as: Data Modelling, Performance tuning and regression testing
  • Willingness to learn and take ownership of tasks.
  • Excellent written/verbal communication and problem-solving skills and
  • Understanding and working experience on Pharma commercial data sets like IQVIA, Veeva, Symphony, Liquid Hub, Cegedim etc. would be an advantage
  • Good experience working in pharma or life sciences domain projects


Education

  • BE/B.Tech, MCA, M.Sc., M. Tech with 60%+

Why Axtria: -

Axtria

We will provide– (Employee Value Proposition)

  • Offer an inclusive environment that encourages diverse perspectives and ideas
  • Deliver challenging and unique opportunities to contribute to the success of a transforming organization
  • Opportunity to work on technical challenges that may impact across geographies
  • Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications
  • Sponsored Tech Talks & Hackathons
  • Possibility to relocate to any Axtria office for short and long-term projects
  • Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible Benefits
  • Hybrid /FT Office

Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace.

A few more links are mentioned below, you may want to go through to know more about Axtria’s journey as an Organization, its culture, products and solutions offerings.

  • For White papers: Research Hub: https://www.axtria.com/axtria-research-hub-pharmaceutical-industry/
  • For Axtria product and capability related content: 5 step guides: https://www.axtria.com/axtria-5-step-guides-sales-marketing-data-management-best-practices/
  • For recent marketing videos, including Jassi’s public discussions: Video Wall: https://www.axtria.com/video-wall/
  • Infographic Points of view on industry, Therapy areas etc.: https://www.axtria.com/video-wall/

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