Data Engineer Associate Job at Miracle Software Systems (Miracle Heights)

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Associate / Associate Director – Data Centre Mechanical or Electrical Engineer

This is a significant opportunity for an experienced Associate or Associate Dire...

Location

Romania , Bucharest

Salary:

Not provided

Cundall

Expiration Date

Until further notice

Requirements

A degree in Mechanical Engineering, Electrical Engineering, Building Services Engineering or a related discipline
Chartered Engineer status, or equivalent professional registration
Significant experience in building services design within a consultancy or design environment
Strong experience in the data centre sector, ideally including hyperscale or large-scale mission critical projects
A good understanding of data centre design principles, resilience, redundancy, energy efficiency and operational performance
Experience managing engineers and coordinating multidisciplinary design teams
A proven ability to manage multiple projects, deadlines and client expectations
Strong commercial awareness, including fee management, programme control and scope management
Excellent client-facing communication skills
A quality-focused approach and the confidence to challenge, review and improve design outputs

Job Responsibility

Lead and support the delivery of mechanical or electrical design packages for major data centre projects
Manage project teams, technical deliverables, programmes, fees and quality standards
Review designs and provide technical leadership across your discipline
Work closely with clients, architects, contractors and multidisciplinary design teams
Help establish, mentor and grow a dedicated data centre team in Bucharest
Support recruitment, training and capability development within the local team
Contribute to client relationship management and support repeat business
Help develop and refine standardised data centre design approaches for global clients
Participate in R&D, technical studies and innovation initiatives linked to future data centre design
Support the senior leadership team in shaping the continued growth of Cundall’s Critical Systems business

Associate Data Engineer

The role is responsible for designing, building, maintaining, analyzing, and int...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s / Master’s degree and 5 to 8 years of Computer Science, IT or related field experience
Hands-on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing
Proficiency in data analysis tools (e.g. SQL) and experience with data visualization tools
Excellent problem-solving skills and the ability to work with large, complex datasets
Strong understanding of data governance frameworks, tools, and best practices

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
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, manage scope, timelines, and risks
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams

Associate Data Engineer

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

2-6 years of experience with Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field, or equivalent practical experience
Hands-on experience with Python for data processing, scripting, and automation
Strong working knowledge of PySpark and distributed data processing concepts
Proven hands-on experience using Databricks for data engineering, including notebooks, clusters, jobs, workflows, Delta tables, and performance optimization
Ability to build, maintain, and troubleshoot scalable ETL/ELT pipelines in Databricks
Experience working with Delta Lake and lakehouse architecture concepts
Working knowledge of SQL for querying, transforming, and validating data
Ability to work with structured and semi-structured data formats such as CSV, JSON, Parquet, and Delta
Understanding of data engineering concepts such as ETL/ELT, data pipelines, data lakes, data warehouses, batch processing, and data quality
Basic understanding of AI and machine learning concepts, including features, training datasets, model inputs/outputs, and model evaluation basics

Job Responsibility

Develop, test, and maintain data pipelines using Databricks, PySpark, and Python
Ingest, transform, and process structured and semi-structured data from multiple sources
Support the development of scalable ETL/ELT workflows for analytics, reporting, and machine learning use cases
Work with data engineers, analysts, and data scientists to understand data requirements and deliver reliable datasets
Perform data cleansing, validation, and quality checks to ensure accuracy and consistency
Optimize Spark jobs and Databricks notebooks for performance, reliability, and cost efficiency
Create and maintain documentation for data pipelines, workflows, data definitions, and processes
Assist in troubleshooting pipeline failures, data issues, and performance bottlenecks
Follow best practices for version control, code quality, testing, and deployment
Support basic AI/ML data preparation activities, including feature engineering, dataset creation, and model input preparation

Fulltime

Senior Associate Data Engineer

The Senior Associate Data Engineer is a developing specialist role, tasked with ...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Relevant certifications preferred such as SAP, Microsoft Azure etc

Job Responsibility

Contributes to the creation of data models in a structured data format to enable analysis thereof
Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints
Interprets installation standards to meet project needs and produce database components as required
Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
Support the definition and implementation of data table structures and data models based on requirements
Contributes to analysis, and development of ETL and migration documentation
Receives instructions from various stakeholders to evaluate potential data requirements
Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives

Fulltime

Senior Associate Data Engineer

The Senior Associate Data Engineer is a developing specialist role, tasked with ...

Location

Malaysia , Selangor

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Knowledge of the definition and management of scoping requirements, definition and prioritization activities
Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models
Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP
Understanding of data architecture landscape between physical and logical data models
Analytical mindset with good business acumen skills
Problem-solving aptitude with the ability to communicate effectively, both written and verbal
Ability to build effective relationships at all levels within the organization
Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Moderate level experience in data engineering, data mining within a fast-paced environment

Job Responsibility

Contributes to the creation of data models in a structured data format to enable analysis thereof
Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources
Participates in the transformation of object and data models into appropriate database schemas within design constraints
Interprets installation standards to meet project needs and produce database components as required
Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems
Support the definition and implementation of data table structures and data models based on requirements
Contributes to analysis, and development of ETL and migration documentation
Receives instructions from various stakeholders to evaluate potential data requirements
Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives

Fulltime

Sr. Associate Data Engineer

As part of the cybersecurity organization, the Data Engineer is responsible for ...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree OR Bachelor’s degree and 5 to 9 years of Computer Science, IT or related field experience
Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, Gitlab, LucidChart, etc.
Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools
Excellent problem-solving skills and the ability to work with large, complex datasets
Understanding of data governance frameworks, tools, and best practices
Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA)
Experience with ETL tools and various Python packages related to data processing, machine learning model development
Strong understanding of data modeling, data warehousing, and data integration concepts
Experience with data visualization and dashboarding tools—Tableau, Power BI, or similar is a plus
Knowledge of Python/R, Databricks, cloud data platforms

Job Responsibility

Design, develop, and maintain data solutions for data generation, collection, and processing
Be a key team member that assists in design and development of the data pipeline
Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems
Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability
Schedule and manage workflows the ensure pipelines run on schedule and are monitored for failures
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency
Implement data security and privacy measures to protect sensitive data
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions
Collaborate and communicate effectively with product teams

Fulltime

Associate Data Engineer

You’ll design and build scalable, AI‑ready solutions across data, cloud, and bus...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

A curious problem‑solver with strong analytical thinking and an interest in AI, cloud, and data‑driven decision‑making
Comfortable learning in ambiguous environments, experimenting with new tools, and building solutions through hands‑on experience
A collaborative communicator with some exposure to cloud, scripting, or automation through study, projects, or self‑learning
A degree in a relevant field is preferable (e.g. Computer Science, Data, Engineering, Cloud, Business Technology, or similar)
A solid foundation in digital systems, with some exposure to cloud platforms, coding, or data tools through study, projects, or self‑learning
An interest in AI, modern delivery practices (Agile/DevOps), and how scalable technology solutions are built in the real world

Job Responsibility

Platform Engineering: Deploy secure, repeatable AI cloud environments using Infrastructure as Code
Support CI/CD pipelines for AI infrastructure and data deployments
Help manage core platform services including security, networking, and monitoring
Collaborate with AI & Data Engineers and document reusable platform patterns
Data Engineering: Build and maintain data pipelines for AI and automation use cases
Prepare structured datasets, vector stores, and model‑ready data
Implement monitoring and validation to ensure data quality and reliability
Create reusable data components aligned to platform and business needs
Business Technology: Translate business problems into clear AI and automation requirements
Support discovery sessions, workshops, and solution design

What we offer

Hybrid/ Remote Working
Private Medical Care
Pension Scheme
25 days’ holiday, plus buy up to 5 more days
Birthday off
Celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance

Fulltime

Associate Data Engineer

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 3 to 6 years of Computer Science, IT or related field experience
Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies
Proficiency in workflow orchestration and performance tuning on big data processing
Strong understanding of AWS services
Ability to quickly learn, adapt, and apply new technologies
Strong problem-solving and analytical skills
Excellent communication and teamwork skills
Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices

Job Responsibility

Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets
Build highly efficient data pipelines to migrate and deploy complex data across systems, with an understanding of biotech/pharma/manufacturing or related domains
Design and implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments
Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB, etc.), APIs, logs, event streams, images, PDFs, and third-party platforms
Ensure data integrity, accuracy, and consistency through rigorous quality checks and monitoring
Innovate, explore, and implement new tools and technologies to enhance efficient data processing
Stay updated with the latest design trends and techniques to ensure the best data engineering
Proactively identify and implement opportunities to automate tasks and develop reusable frameworks
Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value
Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories

Fulltime

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