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Manager - Data engineer (PharmaTech/Life ScienceTech)
Manager - Data engineer (PharmaTech/Life ScienceTech)
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Manager - Data engineer (PharmaTech/Life ScienceTech)

tabbasum shaikh's profile picture
Posted by tabbasum shaikh
7 - 15 yrs
₹30L - ₹35L / yr
Bengaluru (Bangalore)
Skills
Snowflake
SQL Server Integration Services (SSIS)
Data Warehouse
AWS

Role & Responsibilities

We are looking for a Manager / Lead – Data Engineering & ETL Operations to drive enterprise-scale data integration and analytics solutions. The role requires strong hands-on expertise in ETL, cloud platforms, and data warehousing, along with the ability to lead teams, manage delivery, and solve complex data problems.

This is a hands-on leadership role, ideal for professionals transitioning from Senior Engineer to Manager.

Key Responsibilities-

  • Lead ETL development, operations, and production support
  • Design and manage cloud-based data platforms (AWS / Azure / GCP)
  • Build and optimize data warehouse solutions using Snowflake / Redshift
  • Implement dimensional models including SCD Type 1/2/3
  • Develop and orchestrate pipelines using SSIS, Matillion, SnapLogic, PySpark
  • Ensure data quality, performance, scalability, and reliability
  • Support downstream analytics and reporting (Tableau / Power BI)
  • Lead small-to-medium teams, perform code reviews, and mentor engineers.
  • Work closely with business and analytics stakeholders
  • Drive root-cause analysis and problem resolution for data issues

Ideal Candidate

  • Strong Data Engineering (ETL + Cloud) Leadership Profile
  • Mandatory (Experience) : Must have 7+ years of experience in Data Engineering / ETL with at least 3+ years in pharma/life sciences domain
  • Mandatory (Skill 1) : Must have strong expertise in ETL tools (SSIS / Matillion / SnapLogic) and pipeline development
  • Mandatory (Skill 2) : Must have hands-on experience with cloud platforms (AWS / Azure / GCP)
  • Mandatory (Skill 3) : Must have experience working with data warehouses (Snowflake / Redshift)
  • Mandatory (Skill 4) : Must have strong knowledge of data warehousing concepts and dimensional modeling (SCD Type 1/2/3)
  • Mandatory (Skill 5) : Must have hands-on experience with PySpark for large-scale data processing
  • Mandatory (Skill 6) : Must have experience ensuring data quality, scalability, and performance of data pipelines
  • Mandatory (Leadership) : Must have atleast 2+ years of experience leading teams, mentoring engineers, and owning end-to-end delivery
  • Mandatory (Stakeholder Mgmt) : Must have experience working with business or analytics stakeholders and solving data problems
  • Mandatory (Note 3) : This has an equal mix of IC and leadership responsibilities
  • Preferred (Tools) : Experience with Tableau / Power BI and production support / data operations


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About TalentXO

Founded :
2018
Type :
Product
Size :
20-100
Stage :
Profitable

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