Data Senior Engineer Job at NTT DATA (Pune)

Data Senior Engineer

We are looking for a skilled Power BI Developer to join our team. The ideal cand...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong expertise in SQL, including advanced joins, indexing, query optimization, and stored procedures
Hands-on experience with Power BI, including DAX, Power Query, and data modeling techniques
Proficiency in ETL tools such as Azure Data Factory, SSIS, or equivalent platforms
Solid understanding of data warehousing concepts and dimensional modeling (star/snowflake schemas)
Knowledge of data governance, security, and compliance best practices
Ability to troubleshoot and optimize ETL workflows for performance and reliability
Familiarity with version control systems (Git) and CI/CD pipelines for data solutions
Strong analytical and problem-solving skills with attention to detail
Excellent communication skills and ability to work effectively in a 2 PM–11 PM IST shift
A bachelor's degree in Computer Science or a related field is required, along with 3-5 years of experience in a similar role

Job Responsibility

Design, develop, and maintain ETL pipelines for extracting, transforming, and loading data from diverse sources
Create and optimize SQL queries for efficient data retrieval and transformation in large-scale environments
Build interactive Power BI dashboards and reports to deliver actionable insights to stakeholders
Implement data modeling best practices for Power BI, ensuring accurate and performant analytics
Monitor and troubleshoot ETL workflows, resolving issues promptly to maintain data integrity
Collaborate with business teams to gather requirements and translate them into technical solutions
Ensure compliance with data governance, security, and quality standards across all processes
Perform performance tuning for ETL jobs and SQL queries to meet SLA requirements
Document ETL processes, data flows, and reporting logic for transparency and maintainability
Support production deployments and provide on-call assistance during the 2 PM–11 PM IST shift

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

Senior Engineer - Data Engineer

Position - Data Engineer

Location

India , Indore; Ahmedabad

Salary:

Not provided

Arrow Electronics

Expiration Date

Until further notice

Requirements

Experience: 4 to 8 years in software/data engineering
Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions
Proficiency in Python is a must
Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP
Experience with data visualization tools (e.g., Tableau, Power BI, Looker)
Knowledge of data governance and security practices
Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes)
Excellent verbal and written communication skills in English
Experience working in Agile development environments
Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications

Job Responsibility

Design and development of real time software and Cloud/Web/mobile based software application
Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement
Perform software testing including unit, functional and system level requirement including manual and automated
Perform code review following coding guidelines and static code analysis & troubleshoots software problems of limited difficulty
Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle
Develop software solutions from established programming languages or by learning new language required for specific project

Fulltime

Senior Data Engineer (Data Warehouse)

Plaud is building the next generation intelligence infrastructure and interfaces...

Location

Singapore , Singapore

Salary:

Not provided

Plaud

Expiration Date

Until further notice

Requirements

Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field
At least 3 years of experience in data warehouse development, including big data development, data warehouse modeling
Strong understanding of data warehouse architecture and principles
Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go)

Job Responsibility

Design and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance
Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions
Continuously optimize data processing performance to improve platform stability and efficiency
Research emerging technologies to drive the next-generation upgrade of the data platform

What we offer

Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere

Fulltime

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
Expertise in programming languages like Python
Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Job Responsibility

Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Data Engineer / Data Analyst

N-iX is a global software development service company. Our customer is the Europ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

4+ years of experience in analytics, sales operations, revenue insights, or data-driven consulting
Strong SQL skills (joins, window functions, performance tuning)
Production experience with Apache Airflow
Python skills for pipeline development
Ability to build and maintain database views (PostgreSQL, Snowflake, Redshift)
Solid ETL/ELT understanding
Clear communication with non-technical stakeholders
GitHub experience (branches, PRs, reviews)
English level - at least Upper-Intermediate, both spoken and written

Job Responsibility

Work with Salesforce objects and relationships to ensure correct ingestion, transformation, and integration into our reporting environment
Design, build, and maintain data pipelines using Apache Airflow (DAG creation, scheduling, monitoring, troubleshooting)
Write, optimize, and maintain SQL queries, stored procedures, and functions for data transformation and extraction
Create and manage database views to support analytics, reporting, and downstream applications
Ensure data quality, consistency, and reliability across pipelines and views (validation checks, monitoring)
Support QuickSuite dataset adjustments (new fields, logic changes, view extensions)
Document data flows, data models, and pipeline logic for long-term maintainability and handover

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...

Location

United States , Southlake, TX or Austin, TX

Salary:

55.92 - 62.13 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
Proficiency in Python and SQL for data processing and automation
Extensive experience with ETL processes and data pipeline design
Excellent problem-solving skills and meticulous attention to detail
Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks

Job Responsibility

Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
Implement and uphold best practices for data quality, data governance, and data security
Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

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Data Senior Engineer

Job Description

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