CrawlJobs Logo

Data Engineer - Platform

India, Hyderabad · Job Posted January 10, 2026
Apply Position
Job Link Share

Job Description

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engineer role will be part of the development team under the Scaled Agile Framework (SAFe) Medical Data Analytics and Insights Product Team and primarily focus on delivering Analytics capabilities across Global Medical business organization. The selected individual will engage with business users, architect, validation engineers, platform teams, product owner and the members of development team to develop and deliver analytics needs and enhancements.

Job Responsibility

  • Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team
  • As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way
  • Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy
  • Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment.
  • Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation
  • Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software.
  • Develop Test classes and automation to validate business logic and avoid production issues
  • Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner
  • Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions
  • Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment
  • Familiarity with AWS Services and other cloud technologies
  • Develop technical design and business documentations for end users
  • Developing a deep understanding of the product and the customer experience
  • Talking to customers at pivotal points of the customer journey and distilling insights on what customers value most
  • Debug and solve inbound customer challenges quickly and always to the customer’s satisfaction.

Requirements

  • Master’s degree and 2 years of Information Systems experience Or Bachelor’s degree and 4 years of Information Systems experience
  • 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools
  • Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript
  • Extensive hands-on technical and engineering experience with building REACT based UI solutions
  • Experience working in BI environments like Tableau / Power-BI etc.
  • Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework
  • Understand AWS services, Security frameworks and AI/LLM base models

Nice to have

  • Hands-on technical development experience in delivering Data and Analytics projects in a fast-paced, multi-client environment
  • Experience with technology systems: Veeva CRM, Content Management Systems (CMS), AWS, Google Analytics, Salesforce, etc
  • Knowledgeable of analytics and design Principals
  • SAFe Agile experienced
  • Strong interpersonal and communication skills - Experience with Project management software including JIRA, Confluence, Smartsheet
  • Experience managing between onshore/offshore development teams
  • Quick learner of existing and new AI/ML technologies and infrastructure
  • Experience operating in a regulated business environment and adhering to mandatory compliance requirements preferred
  • Pharmaceutical experience preferred
  • SAFe for Teams certification (preferred)
  • AWS Developer/User (preferred)

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Data Engineer - Platform

8 matching positions

Data Engineer - Platform

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engi...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master’s degree and 2 years of Information Systems experience Or Bachelor’s degree and 4 years of Information Systems experience
  • 3+ years of experience in developing, implementing and supporting Data and Analytics Data Lake systems, analytics/reporting and metrics/visualization tools
  • Experience using Databricks platform developing integration pipelines, SFDC APIs, REST based web services, SQL, XML, and JavaScript
  • Extensive hands-on technical and engineering experience with building REACT based UI solutions
  • Experience working in BI environments like Tableau / Power-BI etc.
  • Experience developing in an enterprise environment with numerous applications, development teams, in an AGILE framework
  • Understand AWS services, Security frameworks and AI/LLM base models
  • Ability to handle multiple projects simultaneously and prioritize tasks effectively
  • Excellent problem-solving skills and a passion for tackling complex challenges
  • Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team
Job Responsibility
Job Responsibility
  • Function as a Digital Technology Data and Analytics Data Engineer within a Scaled Agile Framework (SAFe) product team
  • As member of Global Medical Data and Analytics Product team, ensure progress to business needs in a cost effective, compliant, reliable way
  • Use data, AI and metrics to understand trends in user behavior and product usage to influence strategy
  • Integrate data and develop integration queries, ETL pipelines in Databricks datalake environment
  • Lead data analysis and insights user stories and utilize existing CI/CD delivery pipeline and processes - streamlining current processes with a focus on automation
  • Communicate software and system designs using Miro, Lucid Chart, or other modeling tools and software
  • Develop Test classes and automation to validate business logic and avoid production issues
  • Work closely with other developers in PRODUCT SCRUM team including business analyst, software engineers, Validation analyst and Product Owner
  • Research AI/LLM based solutions and Drive Proof of Concepts to suit business requirements, Stay abreast of the latest trends in DevOps methodologies and emerging industry solutions
  • Participate and develop business prioritized Data and Analytics matrix and user stories using Databricks environment
What we offer
What we offer
  • Reasonable accommodation for individuals with disabilities
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Backend Data Engineer — Data Platform

We're looking for an engineer to support hands-on implementation and migration w...
Location
Location
Poland
Salary
Salary:
140.00 - 170.00 PLN / Hour
devire.pl Logo
Devire
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Java development skills, with experience in data platform or data engineering contexts
  • Practical experience with at least one JVM-based data processing framework — Flink experience is a plus
  • Beam, Dataflow, or Spark also relevant
  • Comfortable with SQL and cloud data analytics platforms, particularly BigQuery
  • DevOps is part of your day-to-day: you work with cloud infrastructure, containerised applications, and are familiar with Kubernetes basics
  • Experience working with data engineering pipelines in Scala and/or Python
  • You write quality code and understand what it means to ship reliably in a production environment
  • You can work autonomously in an ambiguous environment and move quickly without waiting to be directed
Job Responsibility
Job Responsibility
  • Support hands-on implementation and migration work as we evolve our data processing stack
  • Contribute to company wide migration efforts and platform development
  • Embedded in a team in Data Infrastructure PA, contributing to hands-on engineering work including large-scale pipeline migrations — validating performance and cost outcomes and helping move workloads to our evolving stack
  • Contribute to platform development across our Flink platform, Lakehouse architecture and beyond
What we offer
What we offer
  • Access to benefits package at attractive prices (medical care, Multisport card, life insurance, cafeteria system)
  • Long-term cooperation
  • Fulltime
Read More
Arrow Right

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...
Location
Location
France , Paris
Salary
Salary:
Not provided
doctolib.fr Logo
Doctolib
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
  • Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
  • Expertise in programming languages like Python
  • Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
  • Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues
Job Responsibility
Job Responsibility
  • Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
  • Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
  • Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
  • Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
  • Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders
What we offer
What we offer
  • Free comprehensive health insurance for you and your children
  • Parent Care Program: receive one additional month of leave on top of the legal parental leave
  • Free mental health and coaching services through our partner Moka.care
  • For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
  • Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
  • Up to 14 days of RTT
  • A subsidy from the work council to refund part of the membership to a sport club or a creative class
  • Lunch voucher with Swile card
  • Fulltime
Read More
Arrow Right

Senior Staff Data Engineer- Data Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
adevinta.com Logo
Adevinta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of hands-on experience in Software Development or Data Engineering
  • at least 5+ years specifically focused on building Data Platforms
  • deep understanding of how Platform infra supports Analytics workloads
  • proven experience evolving complex platforms from legacy patterns to modern, cloud-native solutions
  • deep knowledge of Spark internals, JVM tuning, and performance optimization for high-scale batch and streaming datasets
  • deep expertise in Unity Catalog, Delta Lake internals, and optimizing high-volume workloads
  • strict software engineering discipline (CI/CD, Testing, OOP) applied to data pipelines
  • understanding of microservices architecture
  • understanding the needs of Analytics/DWH teams (Data Modeling, dbt)
  • strong background in building automated pipelines using Terraform/Terragrunt and ensuring system observability
Job Responsibility
Job Responsibility
  • Lead the evolution of our Data Platform and architect the "Data Exchange" strategy
  • define robust patterns for API-based ingestion, Event-Driven Architectures (Kafka), and Reverse ETL
  • ensure architectures are optimized for cost and performance on AWS
  • act as a catalyst for technical evolution
  • constantly scan the horizon for next-generation technologies
  • lead the implementation of new paradigms
  • design the strategy for Unity Catalog implementation and Data Contracts
  • champion FinOps, automating cost controls for our highest-volume workloads
  • build the underlying infrastructure that allows Analytics/DWH teams to run efficient transformations
  • elevate the technical bar of the team, mentoring Staff and Senior engineers
What we offer
What we offer
  • An attractive Base Salary
  • Participation in our Short Term Incentive plan (annual bonus)
  • Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
  • A 24/7 Employee Assistance Program for you and your family
  • a collaborative environment with an opportunity to explore your potential and grow
  • a range of locally relevant benefits
  • Fulltime
Read More
Arrow Right

Data Platform Engineer (DWH / Data Management)

A global manufacturing company is seeking a Data Platform Engineer to lead the d...
Location
Location
Japan , 東京23区,神奈川
Salary
Salary:
6000000.00 - 9000000.00 JPY / Year
https://www.randstad.com Logo
Randstad
Expiration Date
March 18, 2027
Flip Icon
Requirements
Requirements
  • Experience in data platform / DWH / BI infrastructure development or operations
  • Experience with data management (data quality, governance, or cataloging)
  • Understanding of ETL/ELT processes and data integration
  • Knowledge of data architecture and data lifecycle management
Job Responsibility
Job Responsibility
  • Design, build, and maintain a data warehouse (DWH) integrating multiple internal data sources
  • Develop and implement data management frameworks (data quality, data catalog, governance)
  • Establish data validation, testing, and standardization processes
  • Manage platform operations including monitoring, backup, and recovery
  • Conduct technical research and evaluate new data technologies
  • Define and promote data management standards and best practices across the organization
What we offer
What we offer
  • 健康保険
  • 厚生年金保険
  • 雇用保険
  • 土曜日
  • 日曜日
  • 祝日
  • 賞与あり
  • Fulltime
Read More
Arrow Right

Platform Engineer - Data Science Platform

Location
Location
United States , Columbus, OH or Dallas, TX or Minneapolis, MN
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • 5+ years of experience supporting Data Science infrastructure
  • 5+ years of hands-on experience with AWS-hosted Data Lake, Data Science, or AI/ML platforms
  • 5+ years of working knowledge with Kubernetes
  • AWS services such as SageMaker, Glue, Lambda, Athena
  • CI/CD tools such as Azure DevOps
  • Infrastructure as Code tools such as Terraform
  • Container technologies including Docker and Amazon ECR
  • Security tools such as AQUA and Kenna
  • Experience producing technical documentation and written solutions
Job Responsibility
Job Responsibility
  • Support and maintain ongoing Data Science infrastructure operations
  • Design, build, and deploy AWS environments using automated CI/CD pipelines
  • Manage and scale large, secure cloud environments to support current and future Data Science initiatives
  • Implement, own, and improve the image management lifecycle process
  • Assist with the setup and ongoing management of AWS accounts dedicated to the Data Science platform
  • Develop and maintain infrastructure pipelines using CI/CD tools (e.g., Azure DevOps)
  • Build and manage environments using Infrastructure as Code (IaC) tools such as Terraform
  • Develop scripts and applications using programming languages such as Python
  • Manage and support database technologies including Athena, Oracle, MySQL, and PostgreSQL
  • Leverage AWS services to enable Data Lake, Data Science, and AI/ML workloads
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right

Aws Data Engineer (Cloud Data Platform & Pipeline Specialist)

Design, develop, and maintain scalable cloud-based data pipelines using AWS serv...
Location
Location
United States , Atlanta
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
  • 5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
  • 5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
  • 5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
  • 5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
  • 5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
  • Familiarity with regulatory or finance data environments and reporting workloads
  • 5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
  • AWS data services
  • data pipelines
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS
  • Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
  • Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
  • Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
  • Implement secure data access patterns following least-privilege principles for pipelines and datasets
  • Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
  • Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
  • Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
  • Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)
  • Fulltime
Read More
Arrow Right