Sr. Manager Data Engineering

24 hours ago

Hyderabad, Telangana, India Amgen Inc Full time ₹ 12,00,000 - ₹ 24,00,000 per year

What you do

We are seeking a seasoned Sr Manager of Data Engineering to drive the development and implementation of our data strategy for Manufacturing and Clinical Supply Chain. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Sr Manager Data Engineering, you will play a crucial role in leading, designing, building, and optimizing our data pipelines and platforms while mentoring junior engineers.

Roles & Responsibilities:

  • Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
  • Take ownership of data pipeline projects from inception to deployment, managing scope, timelines, and risks.
  • Ensure data quality and integrity through rigorous testing and monitoring.
  • Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
  • Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Identify and resolve complex data-related challenges.
  • Adhere to data engineering best practices and standards.
  • Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
  • Familiarity with code versioning using GIT, Jenkins and code migration tools.
  • Exposure to Jira.
  • Identifying and implementing opportunities for automation and CI/CD.
  • Stay up to date with the latest data technologies and trends.

What we expect of you

  • We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

  • Doctorate degree / Master's degree / Bachelor's degree and 12 to 17 years of experience in Computer Science, IT or related field

Functional Skills:

Must-Have Skills:

  • 5+ years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
  • Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
  • Proficiency in Python, PySpark, SQL. Hands on experience with big data ETL performance tuning.
  • Strong development knowledge in Databricks.
  • Strong analytical and problem-solving skills to address complex data challenges.

Preferred Qualifications

Good-to-Have Skills:

  • Experienced with data modeling and performance tuning
  • Experienced working with Apache Spark, Apache Airflow
  • Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops
  • Experience in SQL/NOSQL database, vector database for large language models
  • Experience with prompt engineering, model fine tuning
  • Experience with DevOps/MLOps CICD build and deployment pipeline

Professional Certifications :

  • AWS Certified Data Engineer (preferred)
  • Databricks Certification (preferred)
  • Any SAFe Agile certification (preferred)

Soft Skills:

  • Initiative to explore alternate technology and approaches to solving problems.
  • Skilled in breaking down problems, documenting problem statements, and estimating efforts.
  • Effective communication and interpersonal skills to collaborate with cross-functional teams.
  • Excellent analytical and troubleshooting skills.
  • Strong verbal and written communication skills
  • Ability to work effectively with global, virtual teams
  • High degree of initiative and self-motivation.
  • Ability to manage multiple priorities successfully.
  • Team-oriented, with a focus on achieving team goals
  • Strong presentation and public speaking skills.

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