Madhapur Hyderabad Telangana Associate director data engineering Jobs – 38 Open Jobs Today

Associate Director - Data Engineering
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Software Engineering Associate Director - HIH Evernorth
The Cigna Group —Hyderabad District, Telangana
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Director Software Engineering
Trimont Services India Pvt Ltd —Hyderabad, Telangana
- Hybrid work
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Associate Director–Data Lake Operations
Regeneron —Hyderabad, Telangana
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Quick apply
Associate Director Software Engineering
Trimont Services India Pvt Ltd —Hyderabad, Telangana
- Rotational shift
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1d
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Director Product Management (Maintenance)
Innovapptive —Hyderabad, Telangana
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Change Support Manager
Amgen —Hyderabad, Telangana
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Associate Director, Data Strategy and Governance
Amgen —Hyderabad, Telangana
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Novartis —Hyderabad, Telangana
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Machine Learning Associate Director - HIH - Evernorth
The Cigna Group —Hyderabad District, Telangana
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Associate Director - Data Engineering

Amgen -
Hyderabad, Telangana

Apply Now

Job details

Qualifications

Ontology
CI/CD
SAFe
Data modelling
Azure
Cloud architecture
Computer Science
R
Public speaking
Git
Master's degree
Databases
SQL
AWS
Analysis skills
Bachelor's degree
SVN
Continuous integration
Agile
Unit testing
Maven
AI
Diploma
Jenkins
Communication skills
Graph databases
Python

Full job description

India - Hyderabad

JOB ID: R-216644 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: Feb. 05, 2026 CATEGORY: Engineering

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Let’s do this. Let’s change the world. In this vital role you will manage and oversee the development of robust Data Architectures, Frameworks, Data Product Solutions, while mentoring and guiding a team of data engineers. You will be responsible for leading the development, implementation, and management of enterprise-level data and analytics applications that support the organization's data-driven strategic initiatives. You will continuously strive for innovation in the technologies and practices used for data engineering and build enterprise scale data frameworks and expert data engineers. This role will closely collaborate with counterparts in US and EU. You will collaborate with cross-functional teams, including platform, functional IT, and business stakeholders, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient.

Roles & Responsibilities:

Oversee the architecture, design, and implementation of scalable, high-performance Modern Data Engineering solutions (applications) that include data analysis, data ingestion, storage, data transformation (data pipelines), and analytics.
Evaluate the new trends in data engineering area and build rapid prototypes
Build Data Solution Architectures and Frameworks to accelerate the Data Engineering processes
Build frameworks to improve the re-usability, reduce the development time and cost of data management & governance
Integrate AI into data Engineering practices to bring efficiency through automation
Build and nurture strong relationships with stakeholders, emphasizing value-focused engagement and partnership to align data initiatives with broader business goals.
Lead and motivate a high-performing data engineering team to deliver exceptional results.
Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.
Collaborate with counterparts in US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure the solutions meet the requirements.
Engage with business stakeholders to understand their needs and priorities, ensuring that data and analytics solutions built deliver real value and meet business objectives.
Drive adoption of the data and analytics solutions by partnering with the business stakeholders and functional IT teams in rolling out change management, trainings, communications, etc.
Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.
Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

Master’s degree and 14 to 16 years of computer science and engineering preferred, other Engineering fields will be considered OR
Bachelor’s degree and 15 to 18 years of computer science and engineering preferred, other Engineering fields will be considered OR
Diploma and 18 to 20 years of computer science and engineering preferred, other Engineering fields will be considered
10+ years of experience in Data Engineering, working in COE development or product building
5+ years of experience in leading enterprise scale data engineering solution development.
Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh
Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.
Hands-on experience using Databricks, Snowflake, PySpark, Python, SQL
Proven ability to lead and develop high-performing data engineering teams.
Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.

Preferred Qualifications:

Experience in Integrating AI with Data Engineering and building AI ready data lakes
Prior experience in data modeling especially star-schema modeling concepts.
Familiarity with ontologies, information modeling, and graph databases.
Experience working with agile development methodologies such as Scaled Agile.
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.

Education and Professional Certifications

SAFe for Teams certification (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.

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Apply Now

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Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

What you will do

Roles & Responsibilities:

Oversee the architecture, design, and implementation of scalable, high-performance Modern Data Engineering solutions (applications) that include data analysis, data ingestion, storage, data transformation (data pipelines), and analytics.

Evaluate the new trends in data engineering area and build rapid prototypes

Build Data Solution Architectures and Frameworks to accelerate the Data Engineering processes

Build frameworks to improve the re-usability, reduce the development time and cost of data management & governance

Integrate AI into data Engineering practices to bring efficiency through automation

Build and nurture strong relationships with stakeholders, emphasizing value-focused engagement and partnership to align data initiatives with broader business goals.

Lead and motivate a high-performing data engineering team to deliver exceptional results.

Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and best practices.

Collaborate with counterparts in US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure the solutions meet the requirements.

Engage with business stakeholders to understand their needs and priorities, ensuring that data and analytics solutions built deliver real value and meet business objectives.

Drive adoption of the data and analytics solutions by partnering with the business stakeholders and functional IT teams in rolling out change management, trainings, communications, etc.

Talent Growth & People Leadership: Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.

Recruitment & Team Expansion: Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development and build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities

Organizational Leadership: Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

Master’s degree and 14 to 16 years of computer science and engineering preferred, other Engineering fields will be considered OR

Bachelor’s degree and 15 to 18 years of computer science and engineering preferred, other Engineering fields will be considered OR

Diploma and 18 to 20 years of computer science and engineering preferred, other Engineering fields will be considered

10+ years of experience in Data Engineering, working in COE development or product building

5+ years of experience in leading enterprise scale data engineering solution development.

Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh

Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.

Hands-on experience using Databricks, Snowflake, PySpark, Python, SQL

Proven ability to lead and develop high-performing data engineering teams.

Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.

Preferred Qualifications:

Experience in Integrating AI with Data Engineering and building AI ready data lakes

Prior experience in data modeling especially star-schema modeling concepts.

Familiarity with ontologies, information modeling, and graph databases.

Experience working with agile development methodologies such as Scaled Agile.

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.

Education and Professional Certifications

SAFe for Teams certification (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.