Mid-level Data Engineer Job at NTT DATA (bengaluru)

Mid-Level Project Manager

Mid-Level Project Managers exhibit a strong understanding of product manufacturi...

Location

United States , Akron

Salary:

65000.00 - 85000.00 USD / Year

OnQ

Expiration Date

Until further notice

Requirements

2-3 years of proven experience in project management, preferably in the design, engineering or retail sectors
Experience managing the lifecycle of projects
Experience managing the manufacturing/assembly of products
Understanding of common product warehousing, inventory and shipping practices
Working knowledge of QA and QC practices common to product manufacturing
Excellent client-facing and internal communication skills
Excellent written and verbal communication skills
Solid organizational skills, including attention to detail and multi-tasking skills
Strong working knowledge of Microsoft Office and of project management methodologies
College degree or equivalent work experience

Job Responsibility

Coordinate internal resources and third parties towards the flawless execution of projects
Ensure that all projects assigned are delivered on-time, within scope and on budget
Assist in the definition of project scope, involving all relevant stakeholders and ensuring technical feasibility
Manage project costs, set budgets and handle project billings
Attend stakeholder meetings to confirm project objectives, execution obstacles, in-store variables and other factors that will impact program success
Ability to act as the primary POC between OnQ and various stakeholders to drive necessary research and data collection, manage client expectations and ensure key timelines are met
Analyze retailer data and category/fixture layout to translate into internal production and materials orders
Ensure resource availability and allocation to meet project requirements (both internal and external)
Develop detailed project plans to monitor and track progress
Manage changes to the project scope, project schedule and project costs using appropriate verification techniques

Fulltime

Data Engineer

Barbaricum is seeking a Data Engineer to provide support an emerging capability ...

Location

United States , Omaha

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD Top Secret/SCI clearance required
8+ years of demonstrated experience in software engineering
Bachelor’s degree in computer science or a related field
8+ years of experience working with AWS big data technologies (S3, EC2) and demonstrate experience in distributed data processing, Data Modeling, ETL Development, and/or Data Warehousing
Demonstrated mid-level knowledge of software engineering best practices across the development lifecycle
3+ years of experience using analytical concepts and statistical techniques
8+ years of demonstrated experience across Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science especially around software engineering and/or designing/implementing machine learning, data mining, advanced analytical algorithms, programming, data science, advanced statistical analysis, artificial intelligence

Job Responsibility

Design, implement, and operate data management systems for intelligence needs
Use Python to automate data workflows
Design algorithms databases, and pipelines to access, and optimize data retrieval, storage, use, integration and management by different data regimes and digital systems
Work with data users to determine, create, and populate optimal data architectures, structures, and systems
and plan, design, and optimize data throughput and query performance
Participate in the selection of backend database technologies (e.g. SQL, NoSQL, etc.), its configuration and utilization, and the optimization of the full data pipeline infrastructure to support the actual content, volume, ETL, and periodicity of data to support the intended kinds of queries and analysis to match expected responsiveness
Assist and advise the Government with developing, constructing, and maintaining data architectures
Research, study, and present technical information, in the form of briefings or written papers, on relevant data engineering methodologies and technologies of interest to or as requested by the Government
Align data architecture, acquisition, and processes with intelligence and analytic requirements
Prepare data for predictive and prescriptive modeling deploying analytics programs, machine learning and statistical methods to find hidden patterns, discover tasks and processes which can be automated and make recommendations to streamline data processes and visualizations

Data Engineer - II

The Data Engineer will design, develop, and maintain scalable data pipelines and...

Location

India , Pune

Salary:

Not provided

Atica Global

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, Mathematics, a related field, or equivalent practical experience
3-5 years of experience in data engineering or a similar mid-level role
Proficiency in Python and SQL
experience with Java is a plus
Hands-on experience with AWS, Airbyte, DBT, PostgreSQL, MongoDB, Airflow, and Spark
Familiarity with data storage solutions such as PostgreSQL, MongoDB
Experience with BigQuery (setup, management and scaling)
Strong understanding of data modeling, ETL/ELT processes, and database systems
Experience with data extraction, batch processing and data warehousing
Excellent problem-solving skills and a keen attention to detail

Job Responsibility

Design, develop, and maintain scalable data pipelines and ETL/ELT processes using tools like Airflow, Airbyte and PySpark
Collaborate with software engineers and analysts to ensure data availability and integrity for various applications
Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources
Utilize Airflow for orchestrating complex workflows and managing data pipelines
Implement batch processing techniques using Airflow/PySpark to handle large volumes of data efficiently
Develop ELT processes to optimize data extraction and transformation within the target data warehouse
Leverage AWS services (e.g., S3, RDS, Lambda) for data storage, processing, and orchestration
Ensure data security, reliability, and performance when utilizing AWS resources
Work closely with developers, analysts, and other stakeholders to understand data requirements and provide the necessary data infrastructure
Assist in troubleshooting and optimizing existing data workflows and queries

What we offer

Competitive salary and benefits package
Comprehensive Health Care benefits (best in the country, includes IPD+OPD, covers Employee, Spouse and two children)
Growth and advancement opportunities within a rapidly expanding company

Fulltime

Senior Data Engineer

We’re hiring a Senior Data Engineer with strong experience in AWS and Databricks...

Location

India , Hyderabad

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow
Hands-on experience working with Databricks, including Delta Lake, Apache Spark (Python or Scala), and Unity Catalog
Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows
Experience with Python, and/or Java
Deep understanding of data structures, data modeling, and software architecture
Strong problem-solving skills and attention to detail
Self-motivated and able to work independently, with excellent organizational and multitasking skills
Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders
Bachelor's Degree in Computer Science, Information Systems, or a related field. A Master's Degree is preferred.

Job Responsibility

Design, build, and manage large-scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS
Design, develop, and maintain scalable data pipelines and architectures on Databricks using tools such as Delta Lake, Unity Catalog, and Apache Spark (Python or Scala), or similar technologies
Integrate Databricks with cloud platforms like AWS to ensure smooth and secure data flow across systems
Build and automate CI/CD pipelines for deploying, testing, and monitoring Databricks workflows and data jobs
Continuously optimize data workflows for performance, reliability, and security, applying Databricks best practices around data governance and quality
Ensure the performance, availability, and security of datasets across the organization, utilizing AWS’s robust suite of tools for data management
Collaborate with data scientists, software engineers, product managers, and other key stakeholders to develop data-driven solutions and models
Translate complex functional and technical requirements into detailed design proposals and implement them
Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team
Identify, troubleshoot, and resolve complex data-related issues

Fulltime

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets

Fulltime

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

Well-being support
Growth opportunities
Work-life balance support

Fulltime

Big Data / Scala / Python Engineering Lead

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams
Lead data engineering team, from sourcing to closing
Drive strategic vision for the team and product
Experience managing an data focused product, ML platform
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
Experience managing, hiring and coaching software engineering teams
Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Fulltime

Principal Data Engineer

The Principal Data Engineer will lead the design, development, and optimization ...

Location

United States , Washington DC; Philadelphia PA; Wilmington DE

Salary:

113200.00 - 146664.00 USD / Year

AMTRAK

Expiration Date

Until further notice

Requirements

Bachelor’s Degree or equivalent combination of education, training and/or relevant experience
Plus 7 years of relevant work experience
Proficiency and hands on experience designing and implementing end-to-end data solutions in AWS (e.g., S3, EMR, Glue, Redshift, Kenesis) and/or Azure (e.g. Azure Data Factory, Synaps Analytics, Azure Data Lakre Storage)
Experience with some of the following technologies, Databricks, Python, Apche Sparks, IDMC, Talend, CI/CD pipelines, Jenkins, Gitlab, Power BI, SQL and NoSQL

Job Responsibility

Architect and Design: Define and implement the architectural strategy for our enterprise data platform, focusing on scalability, security, and performance. Design and build robust, high-volume, and performant data pipelines using cloud-native services like AWS Data Pipelines (Glue, EMR, S3, Redshift, etc.) or Azure Data Factory/Synapse Analytics
Technical Leadership: Act as a subject matter expert and mentor for junior and mid-level data engineers, setting best practices for code quality, testing, and deployment
Data Governance & Management: Utilize tools like IDMC (Informatica Data Management Cloud) for data integration, quality, governance, and cataloging across the enterprise
Data Processing and Analysis: Develop, optimize, and manage large-scale data processing jobs using Databricks(Spark/Delta Lake) for ETL/ELT workflows and advanced analytics
Coding and Scripting: Write high-quality, efficient, and well-documented code primarily in Python for data manipulation, automation, and pipeline orchestration
Deployment and Automation: Implement and maintain robust CI/CD pipelines and infrastructure-as-code (e.g., Terraform/CloudFormation) for automated deployment and management of data solutions
Business Intelligence: Ensure data readiness for reporting and analytics and possess working knowledge/experience with BI tools like Tableau and PowerBI to facilitate data consumption
Performance and Optimization: Monitor, troubleshoot, and tune existing data infrastructure and pipelines to ensure optimal performance and cost efficiency

What we offer

health, dental, and vision plans
health savings accounts
wellness programs
flexible spending accounts
401K retirement plan with employer match
life insurance
short and long term disability insurance
paid time off
back-up care
adoption assistance

Fulltime

Mid-level Data Engineer

NTT DATA

Location:
India , bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Additional Information:

Job Posted:
March 24, 2026

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