big data software engineer

BV Teck

<div>Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.<br>
<br>
We leverage cutting-edge big data technologies to design scalable, reliable, and high-performance data platforms. As we continue to grow, we&rsquo;re looking for a skilled <b>Big Data Developer / Engineer</b> to join our dynamic team and contribute to our mission of transforming business processes through technology.<br>
<br>
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.<br>
<br>
We are looking for <b>OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people</b> who are looking for an <b>H1B sponsorship for the year 2027 quota</b>.<br>
<br>
<b>Company:</b> Bright Vision Technologies ( www.bvteck.com )<br>
<b>Job Title:</b> Big Data Developer / Engineer<br>
<b>Job Location:</b> Bridgewater, New Jersey - 08807<br>
<b>Onsite/Hybrid:</b> Remote<br>
<b>FULL-TIME ROLE WITH BRIGHT VISION</b><br>
<br>
<b>Job Description:</b><br>
<b>Environment:</b><br>
Apache Hadoop, Spark, PySpark, Scala, Kafka, HDFS, Hive, HBase, Airflow, Data Warehousing, ETL pipelines, SQL, NoSQL databases, Cloud Platforms (AWS / Azure / GCP), Big Data services (EMR, Dataproc), Docker, Linux, CI/CD pipelines, Git, Agile methodologies<br>
<br>
<b>BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE.</b><br>
For every role, a <b>coding test is required</b>, so apply only if you are <b>confident and technically strong</b>.<br>
<br>
We prefer <b>at least 3 to 5 years real time experience</b>.<br>
<br>
If you are a <b>Big Data Developer / Engineer</b> with the above skills and are looking for an <b>H1B sponsorship</b> this year, please send your resume immediately to <b>venkat.r</b><b>@bvteck.com</b>.<br>
<br>
we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know.<br>
<b>Position offered by &ldquo;No Fee agency.&rdquo;</b><p>
Equal Employment Opportunity (EEO) Statement</p>
<p>Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.</p>
<p>BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.</p><p>
</p><p>032tIsxa1F</p></div>

Big Data Developer / Engineer

Honeywell

<div><p>As an Advanced Data Engineer here at Honeywell, you will play a pivotal role in designing, developing, and maintaining our data infrastructure and systems. Your expertise will be crucial in ensuring the efficient handling, processing, and storage of large volumes of data. You will work closely with cross-functional teams to understand data requirements and implement solutions that drive business insights and operational excellence.
</p><p>In this role, you will impact the organization by developing and optimizing data pipelines, ensuring data quality and integrity, and leveraging advanced data engineering techniques to support data-driven decision-making. Your contributions will enable stakeholders to make informed decisions, improve processes, and drive business growth.
</p><p>At Honeywell, our people leaders play a critical role in developing and supporting our employees to help them perform at their best and drive change across the company. Help to build a strong, diverse team by recruiting talent, identifying, and developing successors, driving retention and engagement, and fostering an inclusive culture.</p></div>
<br><div><p>Key Responsibilities
</p><ul><li>Design, develop, and implement data engineering solutions to support business needs
</li><li>Collaborate with crossfunctional teams to understand data requirements and design data models
</li><li>Develop and maintain data pipelines and ETL processes
</li><li>Ensure data quality, integrity, and security
</li><li>Optimize data storage and retrieval for performance and scalability
</li><li>Stay updated on industry best practices and emerging technologies in data engineering</li></ul></div>
<br><div><p>YOU MUST HAVE
</p><ul><li>Bachelor&rsquo;s degree from an accredited institution in a technical discipline such as science, technology, engineering, mathematics
</li><li>Required experience
</li><li>Required trait
</li></ul><p>WE VALUE
</p><ul><li>Advanced degree in Computer Science, Data Engineering, or related field
</li><li>Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
</li><li>Proficiency in programming languages such as Python, Java, or Scala
</li><li>Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul></div>
<br><div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Advanced Data Engineer

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>CECM Principal Software Engineer (Big Data) Job Description<br>
</b></p><p><br>
The Salesforce Cloud Economics and Capacity Management (CECM) team is looking for a Principal Engineer with experience across Big Data and Infrastructure to join us!
<br>
<br>
You will be working with a group of world-class engineers, architects, and product managers to build the breakthrough features that our internal customers will love, adopt and use while ensuring stable and scalable applications. You will also be working with data scientists to innovate and deliver analytics solutions using Big Data analytics technologies. You'll be a part of a modern, lean, self-governing product engineering team where you have the ability to switch hats between coding to requirements gathering, to testing for quality and performance.
<br>
<br>
CECM develops intelligent , data driven tools which enable strategic decision-making pertaining to Salesforce infrastructure expenditure and capacity management. We are building a platform that provides near real-time monitoring of cost and capacity utilization of the infrastructure, which will help in optimizing resource allocation and minimizing costs. We apply advanced machine learning techniques to turn the petabytes of data generated by our global infrastructure into actionable predictions and business insights used by capacity planners, internal service owners, and technical leaders daily. As an internal tooling team, engineers are expected to directly interact with customers to develop requirements and design, release and maintain distributed systems with visibility throughout Salesforce.
<br>
<br>
This is a fantastic opportunity for someone who is passionate about building scalable, resilient, distributed systems that collect, process, and analyze massive volumes of operational data. The technology stack includes Spark, Hive, Presto, Airflow, Docker, Postgres, and microservices with opportunities to work in cloud native environments.
<br>
<br>
We are looking for a Senior Engineer who can drive our strategy for optimizing cost efficiency and improving utilization across all of the Salesforce services. You will not only provide visibility into opportunities to reduce cost, but also work with multiple service owners to help and guide delivering on those optimizations.
<br>
<br>
<b>Your Responsibilities:
</b></p><ul><li><p>Drive cost optimization improvements across multiple services at Salesforce
</p></li><li><p>Lead data pipeline and application development being delivered by multiple engineers
</p></li><li><p>Lead and participate in requirement gathering, design, and development of complex datasets
</p></li><li><p>Independently design and deliver analytics tools and frameworks for diverse users, including other data engineers, data scientists, and domain experts
</p></li><li><p>Mentor team members in all aspects of the data maturity lifecycle
</p></li><li><p>Master our data management process, data culture, and code base, then improve it
</p></li><li><p>Build resilient, automated systems and assessing and integrating best-in-class technologies when appropriate<br>
</p></li></ul><p><br>
<b>Required Skills:
</b></p><ul><li><p>Bachelors degree in Computer Science and 12+ years of experience, or equivalent industry experience
</p></li><li><p><b>Deep knowledge of two or more functional or scripting programming languages: Java, Python, Scala, or R
</b></p></li><li><p><b>Extensive experience with distributed SQL analytics (Spark/Hive/Presto), relational databases (Postgres or similar) and ETL pipeline
</b></p></li><li><p>Experience with orchestration and workflow management tools: <b>Airflow
</b></p></li><li><p>Experience with Agile development methodology, Test-Driven Development, incremental delivery, and CI/CD
</p></li><li><p>Experience owning and operating services throughout the software development lifecycle including design, development, release and maintenance.
</p></li><li><p>Deep knowledge of distributed services (REST, RPC or similar) and relational databases (Postgres or similar)
</p></li><li><p>Experience communicating technical vision, mentoring junior engineers and managing projects.
</p></li><li><p>Experienced in infrastructure automation and cloud platforms: AWS, Azure, or GCP<br>
</p></li></ul><p><br>
<b>Desired Skills/Experience:
</b><br>
Specialization in one of the following areas:
</p><ul><li><p>Understanding of Data Science/Machine Learning concepts, experience working with Data Scientists and operating ML models in production services
</p></li><li><p>Experience in FinOps domain
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Software Engineering PMTS (Big Data, Spark, Hive)

Zoom Communications

<div>Immigration sponsorship is not available for this position<p><br>
Big Data Platform Engineer (Kubernetes + Spark/Flink/Trino)</p><p></p><p>
What you can expect</p><p>
We are seeking a Big Data Platform Engineer with excellent development and automation expertise to design, implement, and optimize reliable infrastructure services for data pipelines. The ideal candidate will be a self-motivated individual, committed to continuously improving systems and processes to achieve exceptional results. You will leverage a diverse set of tools and technologies to drive innovation and enhance the efficiency of our data infrastructure.</p><p><br>
About the Team</p><p>
The Big Data Infrastructure team is responsible for building and operating the large-scale data platforms that power Zoom&rsquo;s products. The team collects and processes data from multiple product sources, including server logs, databases, and client telemetry. Transforms the data into a unified data lake that supports both operational troubleshooting and long-term business insights.
</p><p>The team owns the end-to-end big data infrastructure, including data ingestion, streaming and batch processing, storage, governance, monitoring, and access control. They are transitioning from managed cloud services to a custom, open-source, Kubernetes-based big data platform.</p><p><br>
Responsibilities</p><ul>
<li><p>
Understanding Big Data architecture and researching, providing proven solutions for large-scale data processing platforms and defining automated approaches to build and update Big Data infrastructure.</p></li>
<li><p>
Developing, enhancing, and maintaining open source data analytics services running on Kubernetes, while leading major projects end to end across internal and external teams.</p></li>
<li><p>
Designing and implementing advanced monitoring systems for the Big Data platform, defining operational and service-quality metrics.</p></li>
<li><p>
Establishing goals and quality standards to continuously improve platform reliability and meet business and operational requirements.</p></li>
<li><p>
Collaborating closely with Big Data engineers to ensure smooth data ingestion, transformation, and data-at-rest processes.</p></li>
<li><p>
Driving issue resolution by supporting issue replication and performing root cause analysis in development environments.</p></li></ul><p><br>
What we&rsquo;re looking for</p><ul>
<li><p>
Possess 5+ years of recent experience as a Big Data infrastructure engineer and hold a Bachelor&rsquo;s degree or higher in Computer Science or a related field.</p></li>
<li><p>
Report to the hiring manager and collaborate with multiple teams within the Zoom Meeting Vertical.</p></li>
<li><p>
Develop and automate infrastructure build-up and changes using Java, Python, and shell scripting, leveraging AWS manageability and automation interfaces.</p></li>
<li><p>
Demonstrate experience with AWS, OCI, and Azure cloud services (e.g., EC2, S3, VPC), and apply strong system design and infrastructure management principles.</p></li>
<li><p>
Manage and develop Big Data platforms based on Spark, Flink, Trino, and alternative open-source solutions running on Kubernetes, including platform and service troubleshooting.</p></li>
<li><p>
Leverage programming experience with Java, Terraform, Ansible, and other infrastructure-as-code tools, while learning new languages as needed and demonstrating a collaborative mindset focused on quality work and team problem-solving.</p></li>
</ul><p></p><p>
Salary Range or On Target Earnings:</p><p></p><p>
Minimum:</p>
$124,000.00<p></p><p>
Maximum:</p>
$271,200.00<p></p><p>
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.</p><p></p><p>
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.</p><p></p><p>
We also have a location based compensation structure; there may be a different range for candidates in this and other locations</p><p>
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Anticipated Position Close Date:</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
05/01/26<p></p><p>
Ways of Working<br>
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.</p><p></p><p>
Benefits<br>
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.</p><p></p><p>
About Us<br>
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.<br>
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.</p><p><br>
Our Commitment
</p><p>At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.</p><p><br>
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</p></div><p></p>

Big Data Platform Engineer (Kubernetes + Spark/Flink/Trino)

Anblicks

<div><div><b>Role: Senior ML Engineer(Databricks MLOps)</b></div><div><b>
Location: Hyderabad</b></div><div><b>
Experince: 8+ Yrs</b></div><div></div><div><b>
Job Description Summary</b></div><div>
ML Engineer within the Data Science and Machine Learning team leverages and third-party software to create solutions to business problems defined by specific business requirements. In this position, you will draw upon technical, AI/ML engineering, Data and MLOps experience to solve complex marketing analytics problems on very large volumes of data.
</div><div>
</div><div>As a Machine Learning (ML) Engineer You will build and operationalize machine learning pipelines involving terabytes of data. You will have the responsibility to help define requirements, create software designs, implement code to these specifications, As an ML Engineer, you will be expected to:</div><div>
</div><div>
Develop and maintain a comprehensive enterprise architecture for AI/ML/GenAI initiatives, ensuring alignment with overall business strategy and technology roadmap.</div><div>
Architect hyperscale MLOps solutions and pipelines</div><div>
Work with Applied Scientists, Data Scientists, Product owners, ML Engineers, and Software Engineers to design and deliver ML solutions in production at scale.</div><div>
Develop automated AI and ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.</div><div>
Leverage AI to develop GenAI powered solutions to complement our data science and product build capabilities</div><div>
Assess current state AI/ML/GenAI capabilities across various business domains, identify gaps, and design target state architectures to drive innovation, revenue growth and operational excellence.</div><div>
Lead transformational initiatives to bridge the gap between current and desired AI/ML capabilities, collaborating with cross-functional teams to ensure successful implementation.</div><div>
Establish governance frameworks and decision criteria for AI/ML and GenAI projects, ensuring adherence to industry standards, regulatory requirements, Responsible AI and architectural principles.</div><div>
Create and maintain reference architectures, patterns, and best practices for AI/ML lifecycle and integration within enterprise ecosystem.</div><div>
Lead the technology evaluation and process improvements to drive Experimentation, Model Development and ML Ops at scale</div><div>
Lead and drive standardization of LLM onboarding process, RAG pipelines and application development</div><div>
Conduct architecture reviews and risk assessments for proposed AI/ML solutions, ensuring they meet security, scalability, and interoperability requirements.</div><div>
Utilize advanced data science techniques (e.g., Natural Language Processing, clustering, predictive analytics, regression analyses, survival analysis, segmentation, and experimentation) to propose enhancements and innovations to business processes.</div><div>
Conduct sophisticated statistical analyses and maintain high reliability of machine learning pipelines in production environments, ensuring minimal downtime and optimal performance.</div><div>
Collaborate with business leaders and product to identify opportunities for AI/ML-driven innovation and guide the development of use cases that deliver tangible business value.</div><div>
Foster a culture of continuous learning and innovation in AI/ML practices across the enterprise architecture team and broader organization.</div><div>
</div><div><b>
BASIC QUALIFICATIONS</b></div><ul><li>8+ of years of experience in enterprise architecture, with a focus on AI/ML integration and transformation projects.
</li><li>6+ years professional experience in software development</li></ul><div>
Bachelor&rsquo;s Degree in Computer Science or Associate Degree &amp; 3+ years of development experience or equivalent experience
</div><ul><li>Computer Science fundamentals in object-oriented design</li><li>Computer Science fundamentals in data structures</li><li>Computer Science fundamentals in algorithm design, problem solving, and complexity analysis</li><li>Knowledge of, at least, one modern programming language such as Python, Java, C++, C, Java, Python or Perl</li></ul><div>
</div><div><b>
PREFERRED QUALIFICATIONS</b></div><div>
8+ years of experience architecting scalable ML infrastructure and big data systems.</div><div>
Databricks Architect Certification is required</div><div>
6+ years of architecting solutions using Databricks. Strong experience using Mosaic AI, Unity Catalogue, mlflow, workflow orchestration and other databricks native MLOps capabilities.</div><div>
At least 1+ year experience in GenAI (Technical familiarity with 2 or more) - OpenAI API, Bedrock API, Vertex API, LangGraph, other agentic frameworks</div><div>
High attention to detail and proven ability to manage multiple, competing priorities simultaneously.</div><div>
Experience MLOps and orchestration tools such as Airflow, Kubeflow, DAGster, Optuna, Mlflow or other similar MLOps tools.</div><div>
Experience with operationalizing and migrating ML models into production at scale.</div><div>
Developing Large scale model inference solutions using parallel execution framework using spark, EMR, databricks</div><div>
Experience developing complex orchestration and MLOps pipelines stitching together large volumes of data for training and scoring</div><div>
Experience with Large Language Models, fine tuning and deployment frameworks using HuggingFace capabilities or cloud provider solutions such as Amazon Bedrock, Vertex AI model garden etc.</div><div>
Familiarity with Vector databases such as Pinecone, ChromaDB or similar tools.</div><div>
Experience in CI/CD/DevOps, Deployment and Automation Tool &ndash; CI/CD, Jenkins, Terraform, Cloud Formation Template or similar</div><div>
Proficiency with Apache Spark, EMR/DataProc and Cloud based tools (Snowflake, Redshift, EMR, Glue, Step Functions, Lambda, Step functions, AWS Batch, or similar etc.).</div><div>
Experience with ML libraries like H20, scikit learn and deep learning frameworks (PyTorch, TensorFlow, etc.).</div><div>
Experience with end-to-end software development and life cycle of ML solutions.</div><div>
Excellence in technical communication with scientists and engineers.</div><div>
At least 2years Database (SQL) experience, Linux</div><div>
At least 6+ years of AWS infrastructure experience - Cloud run, App server, RDS, S3, EC2, EMR or equivalent GCP experience</div><div>
</div><div><b>
What will set you apart:</b></div><div>
Databricks Certification</div><div>
Langgraph, Databricks MLFlow experience, Docker experience, Kubernetes experience</div><div>
Knowledge of LLM observability platforms</div><div>
</div><div>
Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)</div><div>
Analytic problem-solving skills with the ability to think outside-the-box</div><div>
Analytical thinker that excels at analyzing and understanding data to answer questions</div><div>
Excellent understanding of data concepts, data architecture, data manipulation/engineering, and data engineering design</div><div>
Passion for considering how projects fit into the wider business picture</div><div>
An understanding in multiple types of programming languages in order to be adaptable (statically typed vs. dynamically typed and object-oriented vs. procedural)</div><div>
Self-Starter &ndash; Able to work independently with little guidance</div><div>
Adaptable - Able to adapt to diverse technical challenges and systems</div><div>
Ability to formulate and present insights with gathered data to both technical and non-technical peers, leaders, and clients</div></div><div></div>

Senior ML Engineer (Databricks MLOps)

Tata Consultancy Services (TCS)

<div></div><div><div><div><p><div><div><div><div><p><b>Desired Competencies (Technical/Behavioral Competency</b><b>)</b></p><br>
</div></div><br>
<div><div><p><b>Must-Have**</b></p><br>
</div><div><ul><li> Strong hands-on experience of Hadoop, HIVE, Spark, PySpark, Big Data Eco System Tools.</li></ul>
<ul><li> Strong SQL experience.</li></ul>
<ul><li> Should be able to develop, tweak queries and work on performance enhancement.</li></ul>
<ul><li> Solid understanding of object-oriented programming and HDFS concepts.<br>
</li></ul></div></div><br>
<div><div><p><b>Good-to-Have</b></p><br>
</div><div><ul><li> Preferable to have good DWH/ Data Lake knowledge.</li></ul>
<ul><li> The candidate should have good DevOps and Agile Development Framework knowledge.</li></ul>
</div></div><br>
</div></div></p></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>397932</div>
</div><div><div><b>Desired Skills</b></div>
<div>Hadoop | Apache Spark | Hive</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Big Data Developer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking Risk Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p><b>
Job responsibilities</b></p><ul>
<li>Design, development of creative software solutions, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li>
<li>Develops secure high-quality production code, and reviews and debugs code written by others</li>
<li>Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li>
<li>Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li>
<li>collaborates with product managers, data scientists, ML engineers, and other stakeholders over the course of SDLC</li>
<li>Adds to team culture of diversity, opportunity, inclusion, and respect</li>
<li>Stay informed about the latest trends and advancements in the latest LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul>
<li>Formal training or certification on software engineering concepts and 5+ years of applied experience</li>
<li>Advance level skills in programming languages like Python or Java
</li><li>Experience with developing /maintaining applications on Public Cloud</li>
<li>In-depth Experience with BigData, Spark and Databricks</li>
<li>Proficiency in automation and continuous delivery methods</li>
<li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
<li>Experience with ML Operations</li></ul><div>
<b>Preferred qualifications, capabilities, and skills</b></div><ul>
<li>Databricks platform</li>
<li>PySpark</li>
<li>AWS</li>
<li>Data security and Privacy controls in Financial Industry</li></ul>
<b>ABOUT US</b></div>

Lead Software Engineer Python, Pyspark - Big Data

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