Data Engineer Job at NTT DATA (Bangalore)

New

Data Engineer

We are looking for a Data Engineer to support and enhance critical data operatio...

Location

United States , Greenville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience working in data engineering or data platform operations roles
Strong hands-on knowledge of Python for scripting, automation, and operational support
Experience managing or supporting Apache Kafka environments and related streaming data workflows
Familiarity with Snowflake administration, performance tuning, and resource management
Solid understanding of ETL processes, including data ingestion, transformation, and delivery concepts
Experience working with AWS services in support of modern data infrastructure
Knowledge of Terraform or similar infrastructure-as-code tools for environment management and automation

Job Responsibility

Oversee the health and performance of data pipelines that run across Snowflake, Kafka, and connected platforms
Investigate operational issues affecting data ingestion, transformation, or downstream delivery and drive timely resolution
Maintain stable batch and streaming processes by improving resiliency, uptime, and overall execution efficiency
Administer Snowflake resources, including warehouses, databases, permissions, and usage optimization
Manage Kafka infrastructure by tuning clusters, topics, partitions, and consumer group behavior for reliable throughput
Create and maintain automated solutions for deployment, monitoring, failure recovery, and routine workflow support
Develop operational scripts and utilities using Python, Bash, and related tools to reduce manual effort and improve consistency
Contribute to CI/CD practices that strengthen the release and maintenance process for data infrastructure
Partner with engineering and analytics teams to improve pipeline design, data performance, and delivery accuracy
Support data governance, security, compliance, and data quality standards through validation checks and alerting frameworks

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

New

Data Engineer

We are seeking a skilled Data Engineer with strong experience in ETL development...

Location

United States , Fort Lauderdale

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
3+ years of experience in data engineering or ETL development
Strong hands-on experience with Snowflake
Proficiency in Python for data processing and automation
Experience developing and supporting ETL/ELT workflows
Strong SQL skills and experience with relational databases
Familiarity with cloud data platforms and modern data warehouse architecture
Experience with data integration, transformation, and orchestration tools
Strong analytical, troubleshooting, and communication skills

Job Responsibility

Design, develop, and maintain robust ETL/ELT pipelines for ingesting, transforming, and loading data from multiple sources
Build and optimize data solutions within Snowflake
Develop reusable scripts and workflows using Python
Integrate data from APIs, databases, flat files, and third-party platforms
Monitor, troubleshoot, and enhance data pipeline performance, reliability, and scalability
Collaborate with analytics, engineering, and business teams to understand data requirements
Ensure data quality, integrity, governance, and security across platforms
Support data modeling, warehouse design, and performance tuning
Document technical designs, workflows, and operational processes
Participate in code reviews, testing, and deployment activities

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

Data Engineer

We’re hiring a Data Engineer to support AI and analytics initiatives by building...

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of data engineering experience
Strong proficiency in Python and SQL
Experience with Azure data stack (ADF, Databricks, Synapse)
Knowledge of data modeling and ETL best practices

Job Responsibility

Design and maintain data pipelines and ETL processes
Work with large datasets to support AI/ML model training
Build and optimize data architectures (data lakes, warehouses)
Collaborate with data scientists on feature engineering and model deployment
Ensure data quality, governance, and performance optimization
Integrate cloud-based data services (Azure Data Factory, Databricks)

Data Engineer

Welcome to an exciting opportunity at Ericsson, where you'll step into the role ...

Location

India , Kolkata

Salary:

Not provided

Ericsson

Expiration Date

Until further notice

Requirements

Strong Python and Java expertise with experience building production-grade systems
Hands-on experience with Apache Spark (PySpark/Scala/Java) and distributed processing
Proven experience in high-volume, low-latency system design and optimization
Strong knowledge of Cassandra, OpenSearch/Elasticsearch, and NoSQL data modeling
Experience building scalable APIs and microservices (Spring Boot)
Hands-on experience with cloud platforms (AWS or GCP)
Strong working knowledge of Docker and Kubernetes
Experience with vulnerability management and non functional features ( alarm , logging , fault management etc.)
Good understanding of LLMs, embeddings, RAG, and GenAI data pipelines
Exposure to developer copilots / AI-assisted coding tools

Job Responsibility

Build and operate large-scale, high-throughput data systems handling massive datasets
Develop complex, scalable solutions using Python and Java
Design and optimize distributed data pipelines using Apache Spark
Engineer low-latency, high-performance data processing systems (batch + streaming)
Work with Cassandra and OpenSearch/Elasticsearch for high availability and scale
Develop scalable backend services and REST APIs (Spring Boot-based microservices)
Experience to work with AWS (Kiro) / Microsoft Copilot stack
Develop MCP-based applications and integrations with enterprise systems
Build RAG pipelines across network, service, customer, and operational data
Engineer data pipelines for embeddings, vector stores, and retrieval systems

Fulltime

Data Engineer

Location

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

Salary:

Not provided

Coherent Solutions

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Engineer
Solid proficiency in SQL
Experience working in Azure cloud environment
Experience with Azure SQL Pools
Strong understanding of performance tuning for data workloads
Experience working in Azure cloud environment
Excellent communication skills
English level: B2 (Upper-Intermediate) or higher

Job Responsibility

Develop and maintain data pipelines in the Azure environment
Work with Azure SQL Pools for data storage and processing
Write and optimize SQL queries
Perform performance tuning for queries and data workflows
Collaborate with a team of engineers on Databricks-based solutions
Build and orchestrate data workflows using Synapse Pipelines / Azure Data Factory
Ensure reliability and consistency of data pipelines

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

Data Engineer

The Associate Data Engineer is an entry level role within the Data Engineering j...

Location

Malaysia , Selangor Darul Ehsan, 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
Programming languages (Perl, bash, Shell Scripting, Python, etc.)
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Basic experience as a data engineering, data mining within a fast-paced environment

Job Responsibility

Supports the creation of data models in a structured data format to enable analysis thereof
Assists with 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. Interpret installation standards to meet project needs and produce database components as required
Takes direction from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations
Assists with running data migrations across different databases and applications, for example, MS Dynamics, Oracle, SAP and other ERP systems
Supports the definition and implementation of data table structures and data models based on requirements
Takes part in analysis, and development of ETL and migration documentation
Receives detailed instructions from various stakeholders to evaluate potential data requirements
Assists with the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives
Takes direction from various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models

Fulltime

Data Engineer

We are looking for a Data Engineer to join a long-term contract opportunity base...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Senior-level experience in data engineering, data architecture, or a closely related discipline
Extensive hands-on background designing and building ETL and ELT solutions in modern cloud data environments
Demonstrated experience working with Snowflake and transformation tooling such as DBT
exposure to Matillion or similar platforms is highly valued
Ability to translate conceptual architecture into practical, maintainable implementation patterns with minimal supervision
Solid understanding of data integration tradeoffs across application-to-application flows, warehouse-centric design, and operational reporting needs
Proven ability to document technical standards, communicate design rationale, and support knowledge transfer to internal teams
Comfortable partnering with architects, BI leaders, integration specialists, and business stakeholders in a collaborative setting

Job Responsibility

Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery
Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers
Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse
Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff
Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs
Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability
Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations
Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support

What we offer

medical insurance
vision insurance
dental insurance
life insurance
disability insurance
401(k) plan

Data Engineer

We are looking for an experienced Data Engineer to join a team delivering modern...

Location

United States , Poughkeepsie

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building data engineering solutions with Databricks and Apache Spark
Strong programming ability in Python, including development of ETL and data transformation workflows
Knowledge of lakehouse and big data technologies such as Delta Lake, Apache Hadoop, and Apache Kafka
Experience working with Azure Data Lake Storage Gen2 or comparable cloud-based data storage platforms
Ability to optimize distributed data processing jobs and troubleshoot performance issues in Spark environments
Familiarity with data governance, data quality, and security practices for enterprise data platforms
Comfortable working independently and collaborating with cross-functional teams in an agile delivery model
Proven ability to analyze technical problems, break them into manageable components, and implement effective solutions.

Job Responsibility

Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data
Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management
Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities
Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance
Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets
Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate
Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support
Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures
Protect data assets by applying security controls and compliance standards across the Databricks environment
Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule

What we offer

Medical, vision, dental, and life and disability insurance
enrollment in company 401(k) plan

Fulltime

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