Sr Manager Data Engineer

Amgen Technology; Hyderabad; In loco; INR 3.500.000 - 6.500.000; Tempo pieno

Descrizione del lavoro

Amgen Technology in Hyderabad seeks a seasoned Sr Manager Data Engineer to lead design, development, and implementation of our data strategy. This role focuses on building robust data platforms while mentoring a high-performing team of data engineers.

The candidate will architect cloud-based solutions (primarily AWS/Azure/GCP) and collaborate with global stakeholders to translate data needs into scalable technical outcomes.

Competenze

• Bachelor-level degree in CS/Engineering (or related) with 11+ years' experience or 12+ years for non-CS
• AWS Certified Data Engineer preferred
• Databricks Certificate preferred

Mansioni

• Design, develop and implement robust data architectures and platforms.
• Lead and mentor the data engineering team.
• Oversee data pipelines and integration solutions.
• Establish data governance policies for quality, security and compliance.
• Architect and manage cloud-based data solutions (AWS or other)
• Collaborate with stakeholders to translate data needs into solutions.
• Stay updated on emerging data technologies and best practices.
• Provide rapid prototyping and translate concepts into working code.
• Drive innovative data engineering initiatives.
• Ensure cost-effective cloud architectures.

Conoscenze

Cloud platforms (AWS/Azure/GCP)

Python

PySpark

SQL

Big data ETL tuning

Formazione

Bachelors degree in CS/Engineering (or related)

AWS Certified Data Engineer

Databricks Certificate

Strumenti

Apache Spark

Apache Airflow

Git

CI/CD tooling

Descrizione del lavoro

Job Summary

Role Name: Sr Manager Data Engineer

Department Name: Sales Insight

Role GCF: 6A

We are seeking a seasoned Sr Manager Data Engineer to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Principal Data Engineer, you will architect and oversee the development of robust data platforms, while mentoring and guiding a team of data engineers.

Responsibilities

• Possesses strong rapid prototyping skills and can quickly translate concepts into working code.
• Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
• Design, develop, and implement robust data architectures and platforms to support business objectives.
• Oversee the development and optimization of data pipelines, and data integration solutions.
• Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.
• Architect and manage cloud-based data solutions, leveraging AWS or other preferred platforms.
• Lead and motivate a high-performing data engineering team to deliver exceptional results.
• Identify, analyze, and resolve complex data-related challenges.
• Collaborate closely with business stakeholders to understand data requirements and translate them into technical solutions.
• Stay abreast of emerging data technologies and explore opportunities for innovation.

Functional Skills

Must-Have Skills

• Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
• Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.
• Proven ability to lead and develop high-performing data engineering teams.
• Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.

Good-to-Have Skills

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases
• Experienced 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
• Experienced with AWS, GCP or Azure cloud services

Education and Professional Certifications

• Bachelors degree in computer science and engineering preferred, other Engineering field is considered; Masters degree and 11+ years' experience Or Bachelors degree and 12+ years' experience
• AWS Certified Data Engineer preferred
• Databricks Certificate preferred

Soft Skills

• 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.