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Amgen Logo Amgen · IT - Software Development

Associate Data Scientist (Data Engineering)

India, Hyderabad · Job Posted April 12, 2026
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Job Description

The Associate – Data Engineering role is an entry‑level engineering position within the Marketing Science Operations (MSO) Data Engineering team. This role is ideal for candidates who are excited to build foundations in data pipelines, data quality, and scalable data products that power analytics and reporting. The team will provide structured learning and on‑the‑job exposure. What matters most is curiosity, critical thinking, and a strong learning mindset.

Job Responsibility

  • Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
  • Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
  • Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
  • Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
  • Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
  • Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
  • Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
  • Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications

Requirements

  • Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
  • Experience in data engineering, software engineering, analytics engineering, or data/tech role
  • Familiarity with data concepts (tables, schemas, joins, basic transformations)
  • Proficiency in SQL and data analysis and structured data
  • Strong problem‑solving and analytical reasoning skills
  • Effective written and verbal communication skills
  • Strong learning mindset and willingness to work with new tools, datasets, and business contexts

Nice to have

  • Exposure to Python programming for automation
  • Exposure to cloud/data tools such as Databricks, Spark/PySpark, Azure/AWS, ADF/Airflow
  • Experience with ETL/ELT pipelines, batch processing, or orchestration concepts
  • Familiarity with data quality checks, profiling, data governance, logging, monitoring, or incident triage practices
  • Exposure to DevSecOps practice
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