Databricks Developer (Digital Engineering) Job at Coherent Solutions

Data Engineer - Platform

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engi...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

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

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

Reasonable accommodation for individuals with disabilities

Data Engineer

FinXL is seeking a Data Engineer to join our consulting team and be deployed wit...

Location

Australia , Macquarie Park

Salary:

160000.00 - 170000.00 AUD / Year

FinXL

Expiration Date

Until further notice

Requirements

Deep expertise in Azure and Databricks (Spark and Delta Lake)
Advanced proficiency in Python and SQL for complex data transformation
Proven experience building Lakehouse architectures and managing data partitions
Strong background in data engineering for read-heavy API workloads
Familiarity with DevOps practices including CI/CD pipelines and Terraform
Ability to work autonomously in ambiguous, first-of-its-kind project settings
Strong stakeholder management skills to navigate complex corporate environments

Job Responsibility

Design and build a secure data partition and sandpit using Databricks and Azure
Engineer data pipelines from internal cloud warehouses and raw network telemetry
Develop a "Digital Twin" replica to facilitate a Data-as-a-Service model
Implement rigorous security measures including PII masking and row-level security
Structure data for secure API exposure to enable client-facing AI tools
Collaborate with internal teams to navigate data access and governance processes

Fulltime

New

Data Designer/Engineer

Join us as a Data Designer/Engineer in Barclays, responsible for supporting the ...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong experience in AWS data engineering (S3, Glue, EMR, Athena, IAM)
Advanced Python development skills for data engineering
Strong hands-on experience with Apache Spark / PySpark
Proven experience with Databricks (development, optimisation, notebooks, jobs)
Hands-on experience with Apache Airflow and Astronomer
Strong SQL skills and experience working with large datasets
Experience with CI/CD, Git-based version control, and DevOps practices for data platforms
Solid understanding of data modelling, lakehouse architecture, and analytics-ready data design
Experience implementing data quality, validation, and reconciliation frameworks
Familiarity with metadata, lineage, and data governance concepts

Job Responsibility

Support the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards
Spearhead the evolution of our digital landscape, driving innovation and excellence
Harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences
Build and maintain the systems that collect, store, process, and analyse data
Build and maintenance of data architectures pipelines
Design and implementation of data warehouses and data lakes
Development of processing and analysis algorithms
Collaboration with data scientists to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Data Engineer - Platform

The Amgen India Digital Technology & Innovation (DTI) Sr. Associate IS Data Engi...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

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

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

Data Engineering Lead

Lead your team in creating the pipeline for Data management, data visualization,...

Location

Portugal , Porto

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

5 – 8 years of experience in a similar role with experience in developing and deploying ETL solutions on Azure, GCP or AWS
Solid knowledge of data warehousing principles, concepts, and best practices (e.g. ODS, data marts, data lakes, data vault, 3NF)
Good understanding of common platforms and practices regarding digital development
Cloud-based setups, Advanced Analytics and computing environments, and GitHub (or similar) and CI/CD workflows
Experience in setting up automated testing frameworks including unit tests, integration tests
Understanding of modern cloud-based architecture (Lambda & Kappa architectures)
Advanced SQL, data transformation, and data profiling skills
Experience in building production ETL/ELT pipelines at scale
Data governance experience
3 – 5 years of hands-on experience with Azure: Data Factory, Databricks, Synapse (DWH), Azure Functions, App logic, and other data analytics services, including streaming

Job Responsibility

Lead, influence & implement the technical roadmap of our clients, in light of overall technology and architecture roadmaps
Be responsible for the Architecture, making sure that technical and non-technical components work together in the product to deliver the customer needs
Lead and Develop the digital development and operations using Python, Spark, RESTful API, and Microsoft Azure Cloud, ideally with some Data Insights experience
Steer the technical excellence of the application and consistency with relevant digital frameworks, best practices, and standards
Coach and enable other product team members to deliver best-in-class products
Deliver data platforms, data insights and with the collaboration of the data science team – data products, such as recommendation systems, data lakes/hubs, data insights and dashboards
Lead project activities and will be responsible for the evaluation of business needs and objectives in collaboration with the project team and other stakeholders

What we offer

Become part of a fast-growing international and diverse team

Fulltime

Senior Data Engineer

At Ingka Investments (Part of Ingka Group – the largest owner and operator of IK...

Location

Netherlands , Leiden

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Formal qualifications (BSc, MSc, PhD) in computer science, software engineering, informatics or equivalent
Minimum 3 years of professional experience as a (Junior) Data Engineer
Strong knowledge in designing efficient, robust and automated data pipelines, ETL workflows, data warehousing and Big Data processing
Hands-on experience with Azure data services like Azure Databricks, Unity Catalog, Azure Data Lake Storage, Azure Data Factory, DBT and Power BI
Hands-on experience with data modeling for BI & ML for performance and efficiency
The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration
Experience in driving new data engineering developments (e.g. apply new cutting edge data engineering methods to improve performance of data integration, use new tools to improve data quality and etc.)
Knowledge of DevOps practices and tools including CI/CD pipelines and version control systems (e.g., Git)
Proficiency in programming languages such as Python, SQL, PySpark and others relevant to data engineering
Hands-on experience to deploy code artifacts into production

Job Responsibility

Contribute to the development of D&A platform and analytical tools, ensuring easy and standardized access and sharing of data
Subject matter expert for Azure Databrick, Azure Data factory and ADLS
Help design, build and maintain data pipelines (accelerators)
Document and make the relevant know-how & standard available
Ensure pipelines and consistency with relevant digital frameworks, principles, guidelines and standards
Support in understand needs of Data Product Teams and other stakeholders
Explore ways create better visibility on data quality and Data assets on the D&A platform
Identify opportunities for data assets and D&A platform toolchain
Work closely together with partners, peers and other relevant roles like data engineers, analysts or architects across IKEA as well as in your team

What we offer

Opportunity to develop on a cutting-edge Data & Analytics platform
Opportunities to have a global impact on your work
A team of great colleagues to learn together with
An environment focused on driving business and personal growth together, with focus on continuous learning

Fulltime

D&A(Digitalization & Automation) software developer

The Digitalization & Automation (D&A) team within the Operational Excellence org...

Location

Korea, Republic of , Hwasung

Salary:

Not provided

ASML

Expiration Date

Until further notice

Requirements

Associate, bachelor's, or master's degree in Computer Science, Engineering, Industrial Engineering, or IT‑related fields
2–3 years of experience in software programming
Fluent in English and Korean
Individuals interested in identifying root causes of problems and solving them through digital approaches
Individuals who question existing methods and seek better ways to work
Curiosity and fast learning ability regarding new technologies (AI, automation platforms, etc.)
Value operational excellence more than simple feature development
Ability to understand internal customer needs and communicate solutions effectively
Python skills (for Web Automation, MS Office handling, Data handling)
Knowledge of RDBMS such as PostgreSQL or Databricks, or file‑based databases like SQLite

Job Responsibility

Develop automation software to improve internal customer productivity and efficiency
Lead end-to-end development from requirements analysis, design, development, testing, deployment, to maintenance
Identify repetitive and manual processes and convert them into automation solutions
Support programming and automation technology training for new or junior developers
Collaborate with team members to generate improvement ideas and conduct PoC activities
Create technical documents and user manuals that are easy for end users to understand
Participate in client development considering UI/UX elements, including web/app development (Flutter/React, etc.) when needed

Fulltime

New

QA Automation Engineer (Digital Engineering)

The project focuses on ensuring quality and reliability of systems within the fi...

Location

Bulgaria; Georgia; Lithuania; Mexico; Moldova; Poland; Romania; Ukraine

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

3+ year of experience in QA
Experience with Databricks ecosystem
Experience working in Azure cloud environment
Good understanding of data pipelines and data platform architecture
Experience with Python for test automation
Understanding of automation frameworks
Experience working with SQL
Strong knowledge of manual QA practices
Attention to detail and analytical mindset
Ability to work in a team environment

Job Responsibility

Perform manual testing of application features and workflows
Develop and maintain automation tests using Python
Work with existing automation frameworks and improve test coverage
Validate data and perform database checks using SQL
Collaborate with development and QA teams to ensure product quality
Identify, document, and track defects

What we offer

Technical and non-technical training for professional and personal growth
Internal conferences and meetups to learn from industry experts
Support and mentorship from an experienced employee to help you professional grow and development
Health insurance
English courses
Sports activities to promote a healthy lifestyle
Flexible work options, including remote and hybrid opportunities
Referral program for bringing in new talent
Work anniversary program and additional vacation days

Fulltime

Databricks Developer (Digital Engineering)

Coherent Solutions

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
April 24, 2026

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