Data Engineering Associate Job at Metyis (Gurgaon)

Data Engineering Associate

Metyis is growing! We are looking for a data professional to join our Data Engin...

Location

India , Bangalore

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

3 to 6 years of experience in the field of data engineering
Graduate degree or higher with courses in programming, data analytics
Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities
Good programming skill in Python/scala or any scripting language
Good knowledge of SQL is a required
Basic knowledge and understanding of big data
Experience in Azure
Excellent written and oral communication skills in English language is a must

Job Responsibility

Independently execute data engineering projects
Diagnose problems, disaggregate issues, develop hypotheses and execute relevant solutions
Undertake processing of structured and unstructured data
Undertake work related to ELT activities
Development of data processing codes for automation & building scalable solutions
Develop and maintain data solutions for clients / projects
Communicate and interact with clients at the executive level
Collaborate with data science, reporting and product development teams

What we offer

Enjoy a high level of responsibility and immediate client interactions under the guidance of senior team members
Interact with data engineers on regular basis to drive innovation and create impact on our clients
Help our clients to target, measure and improve mission-critical business metrics and generate demonstrable return on investment
Become part of a fast-growing international and diverse team

Associate Data Scientist (Data Engineering)

The Associate – Data Engineering role is an entry‑level engineering position wit...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Bachelor’s (3 to 6 Yrs) or Master’s (2 to 4 Yrs) degree in Computer Science, Engineering, Information Systems, Data Science, or a related quantitative/technical field
Experience in data engineering, software engineering, analytics engineering, or data/tech role
Familiarity with data concepts (tables, schemas, joins, basic transformations)
Proficiency in SQL and data analysis and structured data
Strong problem‑solving and analytical reasoning skills
Effective written and verbal communication skills
Strong learning mindset and willingness to work with new tools, datasets, and business contexts

Job Responsibility

Support building and maintaining data ingestion and transformation workflows (ETL/ELT) for marketing and media datasets
Assist with implementing data validations and QA checks (schema checks, null checks, duplication checks, count reconciliation) to ensure datasets are reliable and analytics‑ready
Help monitor pipeline runs and refresh schedules, investigate failures using logs, and escalate issues with clear context and evidence
Support development of reusable, governed datasets / data products that are consistent and easy for BI and analytics teams to consume
Contribute to documentation (data flow notes, runbooks, assumptions, source mapping) to improve operational stability and handoffs
Collaborate with cross‑functional partners (MSO BI, MSO Ops, Analytics teams, Vendors) to ensure inputs and outputs are aligned and dependable
Participate in continuous learning and improvement to strengthen engineering fundamentals, reliability practices, and delivery discipline
Analyze and understand the functional & non-functional requirements for Investment and Media Analytics function, and translate them into prototype, technical specifications

CD Excellence Data Engineering Associate

Unilever is looking for a CD Excellence Associate Data Engineer to help take our...

Location

United States , Englewood Cliffs

Salary:

71400.00 - 107200.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

Technical aptitude and the ability to drive business value through focused technology solutions
Deep hands-on experience with cloud services such as Azure data services (e.g., Data Factory, Databricks, ADLS, Synapse, Azure SQL)
Strong proficiency in building scalable ETL/ELT pipelines using Databricks (APIs, PySpark, Spark SQL, Delta Lake)
Solid understanding of distributed computing, data lakehouse architecture, Unity Catalog and modern data engineering patterns
Ability to design and optimize data models that support analytics, reporting, and machine learning workloads
Strong SQL and Python skills, with the ability to write clean, efficient, production ready code
Proven ability to onboard new data sources, integrate APIs, and work with structured, semi-structured data
Experience designing frameworks for data ingestion, metadata management, and data lineage
Comfort working with large-scale datasets and evolving data ecosystems
Experience automating data workflows, quality checks, and monitoring using Azure-native tools

Job Responsibility

Design, build, and maintain scalable data pipelines and solutions on Microsoft Azure or similar cloud platforms
Develop and optimize ETL/ELT workflows to support high-volume, high-velocity data ingestion
Implement robust data models and structures that support analytics, reporting, and machine learning workloads
Integrate new data sources—internal and external—into the enterprise data ecosystem to expand data availability and unlock new business insights
Partner with product, engineering, business and global teams to identify opportunities for new datasets and ensure seamless onboarding
Establish scalable frameworks for data discovery, cataloging, and lineage to support enterprise wide data growth
Automate data workflows, quality checks, and monitoring using Cloud native tools and Databricks capabilities
Collaborate with data scientists to operationalize AI models using Databricks, Azure Machine Learning, or similar platforms
Ensure data readiness, reliability, and accessibility to accelerate AI adoption and experimentation
Contribute to the development of an enterprise AI strategy by identifying data gaps, opportunities, and scalable patterns

What we offer

Bonus eligible
Long-Term Incentive (LTI) eligible
Eligible to participate in benefits plan which may include health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits

Fulltime

Data Engineering Senior Associate

Location

Spain , Barcelona

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

5–8 years of experience in data engineering, including building and deploying production-grade ETL/ELT solutions
Strong hands-on experience with Azure Data Factory, Databricks, Synapse, Azure Functions, Logic Apps, and related services
Advanced skills in SQL, Python, PySpark, data transformation, profiling, and data modelling
Strong knowledge of data warehouses, data lakes, data marts, APIs, streaming, and modern cloud architectures
Experience supporting AI and machine learning solutions from data preparation through production deployment and monitoring
Knowledge of CI/CD, Git, automated testing, data quality, governance, and observability
Experience with Airflow, Kubernetes, or Great Expectations is desirable
Strong business understanding and ability to translate business objectives into technical requirements
Confident, proactive communicator who enjoys working closely with clients and business stakeholders
Strong leadership, stakeholder-management, and problem-solving skills

Job Responsibility

Own and develop the data engineering and AI infrastructure roadmap in alignment with business and technology priorities
Design scalable cloud data platforms, pipelines, APIs, and architectures that support analytics and AI use cases
Work closely with business stakeholders to understand needs, define use cases, and translate them into technical solutions
Monitor the end-to-end development of data and AI use cases, ensuring quality, scalability, and business value
Lead development using Python, PySpark, SQL, REST APIs, and Microsoft Azure
Establish engineering standards covering architecture, testing, CI/CD, data quality, governance, and monitoring
Coordinate data engineering, data science, reporting, and product teams to deliver production-ready solutions
Communicate technical decisions, risks, progress, and recommendations to business and senior stakeholders
Coach team members and manage delivery across multiple projects

What we offer

Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change
Become the go-to person for end-to-end data handling, management, and analytics processes
Lead your team in creating the pipeline for Data management, data visualization, and analytics products, including automated services, and APIs
Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization
Become part of a fast-growing international and diverse team

Fulltime

Data Engineering & Analytics Associate

Data Engineering & Analytics Associate at Metyis in Barcelona. Mid-level positio...

Location

Spain , Barcelona

Salary:

Not provided

Metyis

Expiration Date

Until further notice

Requirements

3–6 years of experience in data engineering, analytics, data science, or a hybrid data role
Degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
Strong SQL skills and good programming knowledge in Python, Scala, or another scripting language
Experience with ETL/ELT pipelines, databases, data warehouses, and data modelling
Ability to analyse data and translate findings into business recommendations
Working knowledge of statistics and machine learning
Experience with Azure, AWS, or GCP
Strong problem-solving, business understanding, and stakeholder-management skills
Excellent written and verbal communication skills in English and Spanish

Job Responsibility

Translate business problems into structured analytical approaches and data solutions
Analyse structured and unstructured data to identify insights and opportunities
Build and maintain ETL/ELT pipelines, datasets, and scalable data-processing solutions
Develop automation and analytical solutions using SQL, Python, Scala, or similar tools
Perform data-quality checks, validation, and performance optimisation
Support reporting, advanced analytics, and machine learning use cases
Collaborate with data science, engineering, reporting, product, and business teams
Communicate findings clearly to technical and non-technical stakeholders
Manage deliverables across multiple projects and clients

Fulltime

Associate Director - Data Engineering

In this vital role you will manage and oversee the development of robust Data Ar...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree and 14 to 16 years of computer science and engineering preferred, other Engineering fields will be considered
Bachelor’s degree and 15 to 18 years of computer science and engineering preferred, other Engineering fields will be considered
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.

Job Responsibility

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.

What we offer

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Fulltime

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

Principal Associate, Data Scientist - Bank Operations Data Science

Data is at the center of everything we do. As a startup, we disrupted the credit...

Location

United States , McLean

Salary:

161800.00 - 184600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL
Proven track record of identifying and mitigating risks specifically linked to LLMs
Proven ability to create and maintain technical documentation

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
Leverage a broad stack of technologies — Python, Snowflake and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
Flex your interpersonal skills to translate the complexity of your work into tangible business goals
This role works directly with our call center operations team to streamline call processing including summarization and automation to help our call center associates better serve our customers.

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

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Data Engineering Associate

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