senior data warehouse developer

ImagineArt

<div><h3 class="jobSectionHeader">Who We Are</h3>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be. 
 
Overview
We are seeking a highly experienced Senior Big Data Developer to design, build, and optimize large-scale data systems and backend infrastructure. The ideal candidate will have strong expertise in BigQuery, distributed data processing, and cloud-based data platforms, and will play a critical role in developing scalable data pipelines and backend services that support analytics, AI, and product systems.
This role requires deep technical expertise in handling large datasets, optimizing data workflows, and building reliable, production-grade data infrastructure.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Design, build, and maintain scalable data pipelines and backend systems for processing large-scale datasets 
Develop, optimize, and manage complex queries, datasets, and workflows in BigQuery and data warehouse systems</li><li>
Build robust ETL/ELT pipelines to ingest, transform, and process data from multiple sources</li><li>
Develop backend services and data processing systems using languages such as Go, Python.</li><li>
Ensure high performance, scalability, reliability, and cost efficiency of data systems</li><li>
Integrate data systems with cloud services, APIs, and distributed systems</li><li>
Monitor, troubleshoot, and optimize data pipelines and backend infrastructure</li><li>
Collaborate with data scientists, analysts, and engineering teams to support analytics and AI-driven features</li><li>
Design clean, efficient, and maintainable system architecture</li><li>
Mentor junior engineers and contribute to technical leadership and architectural decisions</li></ul>
Requirements<ul><li>
5+ years of experience in Big Data, backend engineering, or data infrastructure roles</li><li>
Strong hands-on experience with BigQuery or similar data warehouse technologies (Snowflake, Redshift, Databricks, etc.)</li><li>
Strong proficiency in at least one programming language such as Go, Python, Node.js, or Java</li><li>
Strong expertise in SQL and query performance optimization</li><li>
Experience building and maintaining ETL/ELT pipelines</li><li>
Experience working with large-scale datasets and distributed systems</li><li>
Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure</li><li>
Strong understanding of data architecture, scalability, and performance optimization</li><li>
Excellent problem-solving and debugging skills</li></ul>
Preferred Qualifications<ul><li>
Experience with GCP services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Run</li><li>
Experience with Apache Spark, Kafka, or Airflow</li><li>
Experience supporting analytics, AI, or machine learning systems</li><li>
Experience with real-time and batch data processing systems</li><li>
Experience with microservices architecture</li></ul></div>

Senior Big Data Developer

Astra Tech

<div>
 
 
 
 Role Summary
 
 
 
 
 
 
 
 This role is critically necessary to ensure the Data Team can successfully meet its core OKRs, particularly those related to
 
 Data Governance, Unified Data Warehouse (DWH) construction, and financial risk data support.
 
 
 
 
 
 
 
 
 Role Responsibilities
 
 
 
 
 
 
 
 The new Senior Data Engineer will primarily be responsible for the following areas:
 
 
 
 
 <ul>
 <li>
 
 DWH Architecture and Modeling:
 
 Driving the architectural design of the Financial Data Warehouse (DWH) and core dimensional modeling (e.g., user, order, repayment, and risk feature domains) to ensure high performance, stability, and scalability.
 </li>
 <li>
 
 SSOT Delivery:
 
 Taking ownership of implementing the Single Source of Truth for key business KPIs across all products.
 </li>
 <li>
 
 Data Quality Assurance:
 
 Establishing rigorous data quality checks and monitoring for critical financial fact tables and risk features, using both automated and manual processes.
 </li>
 </ul>
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 We seek a candidate with the following non-negotiable experience and skills to ensure immediate, high-impact contributions:
 
 <ol>
 <li>
 
 
 Senior Technical Expertise:
 
 
 5+ years of experience in big data platform development and maintenance, proficient in technologies like HIVE/Spark/Flink, with extensive experience in DWH Modeling, ETL design, and optimization.
 </li>
 <li>
 
 
 Strong Governance Skills
 
 :
 
 Proven, hands-on experience in building a data governance system from scratch, including familiarity with metadata management tools and formal data quality methodologies.
 </li>
 <li>
 
 
 Financial Services Domain (Mandatory)
 
 :
 
 
 Must
 
 possess deep data experience in the financial, credit, payments, or risk control sectors. They must intimately understand the core financial business processes and data models related to
 
 loan origination, repayment, delinquency, and risk feature engineering.
 
 </li>
 </ol>
 
 
</div>

Senior Data Warehouse Engineer

Gulfstream Aerospace

<div>Reporting Developer Senior- Data Scientist Senior in GAC Savannah 
Unique Skills:<div>
General:</div><ul><li>
Minimum 5 years experience in Data Science</li><li>
Programming: Expert‑level Python for ML and data engineering; strong modular coding practices, packaging, unit testing (pytest).</li><li>
Databricks (Azure), Microsoft Fabric, or AWS Sagemaker: Hands‑on experience with Lakehouse / Warehouse patterns, Spark DataFrames, Delta Lake (ACID, OPTIMIZE/VACUUM), MLflow for experiment tracking, model registry, and jobs/workflows.</li><li>
ML Tooling: Scikit‑learn, XGBoost/LightGBM, statsmodels; feature engineering at scale; model selection, cross‑validation, hyperparameter tuning; robust performance diagnostics (ROC/AUC, PR, F1, lift, residual/error analysis).
</li><li>Data Ops &amp; MLOps: MLflow, model packaging, batch/stream inference patterns on Databricks, job orchestration, CI/CD for notebooks/repos, environment reproducibility (conda/poetry), and model monitoring (drift, stability, recalibration triggers).</li></ul><div></div><div> 
Machine Learning Expertise</div><ul><li>
Classical ML focus (non‑GenAI): Time‑series forecasting (ARIMA/SARIMA/ETS/Prophet, gradient boosting for forecast blending), supervised learning (classification, regression), unsupervised learning (clustering, anomaly detection), survival/reliability analysis, and design‑of‑experiments (DOE).</li><li>
Feature engineering: Lag/lead features, calendar/maintenance cycles, sensor aggregation windows, rolling stats, treatment of missingness/outliers, target leakage controls, and robust scaling for heteroscedastic industrial data. Synthetic data generation.</li><li>
Evaluation in production contexts: Backtesting strategies, cross‑site validation (multi‑plant / multi‑airframe), cost‑sensitive metrics (false‑alarm vs miss costs), and explainability suitable for engineering review boards. Optimization of Type 1 vs. Type 2 errors.</li></ul><div> 
</div><div>Manufacturing &amp; Aerospace Domain (Strongly Preferred)</div><ul><li>
Industrial analytics: Experience with predictive maintenance, condition‑based monitoring, yield/throughput improvement, quality/defect analytics, SPC, first‑pass yield, and takt‑time bottleneck analysis in complex discrete manufacturing.</li><li>
Aerospace value chain: Practical familiarity with E2E flows: design supply chain assembly test/flight field operations &amp; MRO; interpreting sensor/telemetry (AHTMS), maintenance logs, and part lifecycle histories.</li><li>
ERP/MES/PLM context: Working knowledge of SAP/ERP data constructs (orders, routings, WIP, inventory), MES event logs, and engineering change impacts on data semantics.</li></ul><div></div><div> 
Collaboration, Communication &amp; Leadership</div><ul><li>
Stakeholder engagement: Translate business problems into solvable ML formulations; quantify expected value; define acceptance criteria; present results to engineering, reliability, and operations leaders.</li><li>
Cross‑functional teaming: Close collaboration with Data Engineering (ETL, CDC, quality, security) and Citizen Data Scientists for enablement and review cycles.
</li><li>Documentation &amp; training: Produce clear technical docs, model cards, and operational runbooks; coach junior DS and citizen developers.</li></ul><div><div><div><h2 class="jobSectionHeader"> 
Education and Experience Requirements</h2></div><div>
Bachelor's Degree in Information Technology, Computer Science, Engineering or relevant curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 9 years relevant business/technical experience to include five (5) years specific reporting, data analytics, or related technical development/deployment experience. Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience.
Position Purpose:
This is a data and analytics development role within the Gulfstream Business Technology organization for the Enterprise Reporting team. This role directly supports the suite of Gulfstream Enterprise Reporting applications. Responsible for developing requirements, solution development, testing, deployment, and support of enterprise reporting solutions.</div></div><div><div><h2 class="jobSectionHeader">
Job Description</h2></div><div>
Principle Duties and Responsibilities:
Essential Functions:
<div><ul><li>Engages stakeholders and technology users in identifying, analyzing, and documenting business requirements.</li></ul><ul><li>
Creates plans according to schedules and assignments, and acts independently to carry them out.</li></ul><ul><li>
Assures that solution designs meet requirements for scalability, performance and quality in accordance with negotiated service level agreements. Drives decisions related to architecture and design.</li></ul><ul><li>
Delegates tasks and/or responsibilities to team members for action according to their level of experience and assigned accountability.</li></ul><ul><li>
Ensures applications processes are followed consistently and are in compliance with applicable policies, procedures, standards, etc.</li></ul><ul><li>
Performs work related to configuring, deploying, maintaining, and upgrading reporting and data analytics applications and processes. Responsible for tasks related to the development and deployment of systems, methodologies, standards and processes that result in the ability to create and manage the technical solutions.</li></ul><ul><li>
Supports management in recruiting, hiring, and career development.</li></ul><ul><li>
Assists with the development of work breakdown structures, project plans, and skills required. to develop and implement applications.</li></ul><ul><li>
Documents, develops, tests, deploys, and supports reporting and data analytics development using a variety of technical tools in support of business requirements.</li></ul></div>
Additional Functions:
<div><ul><li>Conducts briefings and participates in technical meetings concerning specific projects or other activities. .</li></ul><ul><li>
Serves as technical expert in one or more applications within a portfolio. .</li></ul></div>
Perform other duties as assigned.
Other Requirements:
<div><ul><li>Experience with Agile development methodology and working on an agile team preferred. Multiple agile based project deliveries and certified scrum master preferred.
</li></ul><ul><li>Demonstrated understanding of software development lifecycle methodologies (SDLC).
</li></ul><ul><li>Experience in conducting testing including design and execution of test cases.
</li></ul><ul><li>Demonstrated capability to understand high volume / high complexity data structures to deliver analytics solutions that drive business insight and value.
</li></ul><ul><li>Excellent presentation design and delivery skills.
</li></ul><ul><li>Ability to lead/facilitate cross-functional teams and meetings.
</li></ul></div>A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer.This job requires one to be able to read, write, speak, and understand the English language.</div></div></div>
Additional Information
Requisition Number: 230959
Category: Information Systems
Percentage of Travel: Up to 25%
Shift: First
Employment Type: Full-time
Posting End Date: 02/25/2026<div>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</div><div></div> 
Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee.
 Legal Information | Site Utilities | Contacts | Sitemap 
Copyright &copy; 2025 Gulfstream Aerospace Corporation. All Rights Reserved. A General Dynamics Company. 
Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (NYSE: GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft</div>

Reporting Developer Senior- Data Scientist Senior

YO IT CONSULTING

<div>Role Overview
We are seeking an experienced Senior BI Developer with strong expertise in Power BI, Microsoft Fabric, SQL, SSIS, and SQL-based automation (including Auto mail). The ideal candidate should be able to design, develop, optimize, and maintain end-to-end Business Intelligence and ETL solutions, working closely with business stakeholders to convert data into actionable insights.
Key Responsibilities
Power BI Development
<ul><li>Build advanced dashboards and reports using Power BI (DAX, Power Query (M), data modelling).</li>
<li>Design efficient data models and implement row-level security (RLS).</li>
<li>Optimize report performance, handle complex DAX calculations, and manage large datasets.</li>
<li>Work with Fabric&rsquo;s One Lake, Data flows Gen2, and Direct Lake connections.</li>
</ul>Microsoft Fabric
<ul><li>Develop and manage Fabric pipelines, Dataflow, and Lake House datasets.</li>
<li>Integrate data from multiple sources into Fabric using ETL/ELT approaches.</li>
<li>Maintain and optimize Lakehouse/Tables/Notebooks within Fabric environment.</li>
</ul>SQL Development
<ul><li>Write complex SQL Queries, CTE, Windows Functions, Stored Procedures, and performance-tuned scripts.</li>
<li>Manage data extraction, transformation, and loading across multiple systems.</li>
<li>Work with relational databases like SQL Server, Azure SQL, or equivalent.</li>
</ul>SSIS &amp; ETL
<ul><li>Design and deploy ETL packages using SSIS.</li>
<li>Maintain, debug, and enhance existing SSIS packages.</li>
<li>Manage data workflows, error handling, logging, and automation.</li>
</ul>SQL Automation (Auto mail / Jobs)
<ul><li>Create and manage SQL Agent Jobs for automated processes.</li>
<li>Implement SQL-based Auto mail solutions (sending automated emails from SQL Server).</li>
<li>Monitor job performance, troubleshoot failures, and ensure reliability.</li>
</ul>Collaboration &amp; Documentation
<ul><li>Work with cross-functional teams including business analysts, data engineers, and product owners.</li>
<li>Translate business requirements into scalable BI &amp; ETL solutions.</li>
<li>Prepare documentation for BI reports, ETL processes, and data structures.</li>
</ul>Required Skills &amp; Experience
<ul><li>Minimum 5+ years of experience in Business Intelligence/Analytics roles.</li>
<li>Strong expertise in Power BI (DAX, M language, modelling, visualization best practices).</li>
<li>Hands-on experience with Microsoft Fabric (Lake house, Pipelines, Dataflow).</li>
<li>Expert-level SQL skills (T-SQL, query optimization, stored procedures, triggers, functions).</li>
<li>Experience working with SSIS ETL tools.</li>
<li>Experience with SQL Auto mail, SQL Agent Jobs, or similar automation.</li>
<li>Knowledge of Azure cloud ecosystem is a plus.</li>
<li>Strong analytical and problem-solving abilities.</li>
<li>Excellent communication and documentation skills.</li>
</ul>Preferred Skills (Good to Have)
<ul><li>Experience with Azure Data Factory (ADF) or Synapse.</li>
<li>Knowledge of Python for analytics workloads.</li>
<li>Experience with Power Automate or similar automation tools.</li>
<li>Exposure to data governance, RLS, and security frameworks</li></ul></div>

Senior BI Developer (Power BI / SQL / Fabric / SSIS)

Wells Fargo

<div>About this role: 
 
Wells Fargo is seeking a Senior Data Engineer. 
 
In this role, you will:<ul><li>
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables</li><li>
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting</li><li>
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors</li><li>
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis</li><li>
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements</li><li>
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals.</li></ul>
Required Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li></ul>
Desired Qualifications:<ul><li>
4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
3+ years of Spark experience</li><li>
3+ experience on Abinitio</li><li>
3+ years of Python or other scripting language</li><li>
3+ years of data warehouse experience</li><li>
3+ years of SQL experience</li><li>
Ability to conduct code reviews with a focus on testability and code coverage.</li><li>
Should have experience working in an Agile environment using Scrum or Kanban.</li><li>
Fluent in communication</li><li>
Should have executed end to end projects in data engineering</li><li>
1+ years of strong experience with Hadoop</li><li>
1+ years of strong experience with Hive</li><li>
1+ years of strong experience with Python</li><li>
1+ years of experience with Kubernetes</li><li>
1+ years of experience with Docker</li><li>
1+ years of experience with Google Big Query</li><li>
2+ years of experience with Autosys</li><li>
2 years presenting to technical and executive audiences</li><li>
Good knowledge of non-relational DBMS platforms, (MongoDB or Neo4j)</li><li>
Good knowledge of real-time data streaming via Kafka</li><li>
Good knowledge of Cloud ecosystems such as Google Cloud Platform</li><li>
GCP Associate Cloud Engineer Certified is a plus</li></ul>
Posting End Date:
 
25 Feb 2026 
*Job posting may come down early due to volume of applicants.
 
 
We Value Equal Opportunity 
 
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. 
 
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. 
 
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. 
 
Applicants with Disabilities 
 
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . 
 
Drug and Alcohol Policy 
 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. 
 
Wells Fargo Recruitment and Hiring Requirements: 
 
a. Third-Party recordings are prohibited unless authorized by Wells Fargo. 
 
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Senior Data Engineer- Spark, Abinitio, Python, SQL, Data warehouse

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
 </li>
 <li>
 Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
 </li>
 <li>
 Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
 </li>
 <li>
 Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
 </li>
 <li>
 Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
 </li>
 <li>
 Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
 </li>
 <li>
 Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
 </li>
 <li>
 Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
 </li>
 <li>
 Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
 </li>
 <li>
 Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
 </li>
 <li>
 Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Familiarity with data integration and workflow management tools such as Apache Airflow
 </li>
 <li>
 Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
 </li>
 <li>
 Attention to detail and a strong commitment to delivering high-quality work within established timelines.
 </li>
 <li>
 Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.
 </li>
 </ul>
</div>

Senior Data Warehouse Engineer I

ZecData Technology

Profile - Senior Data Engineer (Remote) Experience: 5+ Years Location: Remote Notice Period: Immediate to 15 DaysAbout the RoleWe are seeking an experienced Senior Data Engineer to join our remote team. The ideal candidate will have strong expertise in real-time data streaming, distributed systems, and cloud-based data architectures.Key Responsibilities<ul><li>Design, build, and maintain streaming data pipelines using Apache Kafka and Spark Streaming.</li><li>Develop scalable microservices and integrate with data systems across multiple environments.</li><li>Collaborate with data scientists, analysts, and platform teams to optimize data flow and reliability.</li><li>Deploy, monitor, and manage data solutions in AWS, Azure, or GCP environments.</li><li>Ensure data quality, security, and performance across all pipelines.</li></ul>Required Skills &amp; Experience<ul><li>5+ years of hands-on experience in Data Engineering.</li><li>Strong expertise in Apache Kafka and Spark Streaming (real-time data processing).</li><li>Proficiency in Java, Scala, or Python.</li><li>Experience with Microservices architecture and Cloud platforms (AWS/Azure/GCP).</li><li>Strong problem-solving and communication skills.</li></ul>Job Type: Full-timePay: ₹400,000.00 - ₹1,000,000.00 per yearWork Location: In person

Sr. Data Engineer

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