Senior Associate Data Engineer Job at NTT DATA (Chennai)

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

Senior Associate Data Engineer

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

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

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
Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale
Moderate level experience with architecture and design of secure, highly available and scalable systems
Familiarity with automation, scripting and proven examples of successful implementation
Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.)
Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc
Moderate level experience in any applicable language, preferably .NET
Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL
Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots

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

New

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

New

Senior Data Engineer

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...

Location

United States , Southlake

Salary:

164000.00 - 183000.00 USD / Year

Charles Schwab

Expiration Date

June 22, 2026

Requirements

Bachelor of Science in Computer Science or a related field
The ideal candidate should have at least 7+ years of data engineering experience, 5+ years development experience and 3 years or more experience with Postgres database management. The candidate must additionally have experience with Oracle, SQL Server, MySQL, and/or Mongo DB
Must have worked as alongside a business vertical to establish nomenclature, data catalogs, provenance, standards, semantics and usage of data
Deep knowledge and experience with query development and optimization (SQL, PL/SQL, and No SQL)
Experience in performance-tuning database applications is a MUST
Experience in multi-datacenter DB installations, disaster recovery, and replication techniques
Advanced knowledge of database backup and recovery strategies
Ability to work in a Unix environment including an ability to write scripts in Unix
Provide database technical support for Technology and Application Delivery projects
Must have excellent written and verbal communications skills

Job Responsibility

Define and maintain conceptual, logical, and physical database models by working with business stakeholders and identifying optimal database specifications. Ensures that database design and system capabilities meet validated user requirements. Work with application development teams designing, developing, and enhancing database schemas, creating database views, helping with query optimization, and figuring out ways to increase application performance. Enhance and recommend solutions / processes for downstream impact analysis associated with data and/or model changes. Support, maintain and enhance applications (when necessary) written with ETL tools such as Informatica, Airflow, Snowflake and additionally support teams using custom ingestion and transformation processes. Collaborate with enterprise stakeholders to implement and adhere to data storage standards and maintain catalogs to facilitate consistent data management practices. Establish data quality metrics and monitoring processes to proactively identify and resolve data quality issues. Work with various IT departments within Schwab to perform preventive and corrective maintenance and incident management measures. Ensure database integrity, availability, and restorability by working with enterprise operational excellence teams. Evaluates the integration of new tools or technologies based on the capabilities of the existing infrastructure. Recommend solutions and help with functional and performance testing needs (mock data, test environments, data refresh processes). Responsible for coordination of planning the installation of operating systems, databases, applications, development upgrades, and new releases. Follow and develop database standards, guidelines, and best practices. Establishes standards, controls, and procedures to ensure data integrity and security. Perform capacity planning and projection for future growth. And finally, be able to work in an Agile Scrum environment

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment

Fulltime

!

Senior Associate Data Analyst- Card

At Capital One, data is at the center of everything we do. When we launched as a...

Location

United States , Richmond, Virginia; McLean, Virginia

Salary:

101100.00 - 126900.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Degree specialized in a Science, Technology, Engineering, Mathematics discipline
Scripting experience in (Python, R, Spark, and SQL)
Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
Experience utilizing and developing within Snowflake services
Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 2 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree with an expectation that required degree will be obtained on or before the scheduled start date
At least 1 year of experience working with at least one scripting language
At least 1 year of experience utilizing business intelligence visualization tool
At least 1 year of experience querying, analyzing and working with data languages and platforms

Job Responsibility

Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives
Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
Drive analysis that provides meaningful insights on business strategies
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
Build and execute tools to monitor and report on data quality

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

Senior Data Engineer

DataSF is seeking a Senior Data Engineer with 3+ years of experience to join our...

Location

United States , San Francisco

Salary:

156000.00 - 196300.00 USD / Year

City and County of San Francisco

Expiration Date

Until further notice

Requirements

An associate degree in computer science, computer engineering, information systems, or a closely related field from an accredited college or university OR its equivalent in terms of total course credits/units
Three (3) years of experience analyzing, installing, configuring, enhancing, and/or maintaining the components of an enterprise network
Additional experience as described above may be substituted for the required degree on a year-for-year basis (up to a maximum of two (2) years)
Completion of the 1010 Information Systems Trainee Program may be substituted for the required degree

Job Responsibility

Platform Administration: Manage our central Snowflake data warehouse, including access control, security policies, resource monitoring, performance tuning, and cost optimization
Pipeline Development: Build and maintain scalable and resilient pipelines to ingest and structure data from diverse sources
Infrastructure as Code (IaC): Use Terraform to define, deploy, and manage data infrastructure, ensuring our pipelines are reproducible, version-controlled, and production-ready
Best Practices & Innovation: Champion and implement best practices for documentation, data modeling, warehouse architecture, SQL optimization, and testing
Collaboration: Work closely with data scientists, analysts, product managers, software engineers, and nontechnical stakeholders in diverse domains to understand data requirements and build solutions that meet their needs
Monitoring & Support: Proactively monitor the health of the data platform and pipelines, troubleshoot issues, and ensure high standards of data quality and availability

What we offer

Permanent Exempt status
Hybrid work schedule
Equal Employment Opportunity
Veterans Preference
ADA Accommodation
Employee Benefits Overview
Conviction History
Disaster Service Worker
Right to Work

Fulltime

Senior Data Engineer

Join our client in embarking on an ambitious data transformation journey using D...

Location

United Kingdom , Nottingham

Salary:

Not provided

Rullion

Expiration Date

Until further notice

Requirements

Extensive experience of Python preferred, including advanced concepts like decorators, protocols, functools, context managers, and comprehensions
Strong understanding of SQL, database design, and data architecture
Experience with Databricks and/or Spark
Knowledgeable in data governance, data cataloguing, data quality principles, and related tools
Skilled in data extraction, joining, and aggregation tasks, especially with big data and real-time data using Spark
Capable of performing data cleansing operations to prepare data for analysis, including transforming data into useful formats
Understand data storage concepts and logical data structures, such as data warehousing
Able to write repeatable, production-quality code for data pipelines, utilizing templating and parameterization where needed
Can make data pipeline design recommendations based on business requirements
Open to new ways of working and new technologies

Job Responsibility

Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change
Build and manage an enterprise data model within Databricks
Integrate new data sources into the platform using batch and streaming processes, adhering to SLAs
Create and maintain documentation for data pipelines and associated systems, following security and monitoring protocols
Ensure data quality and reliability processes are effective, maintaining trust in the data
Be comfortable with taking ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements
Able to work closely with stakeholders and managing their requirements
Actively coach and mentor others in the team and foster a culture of innovation and peer review within the team to ensure best practice

Fulltime

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Senior Associate Data Engineer

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