software engineer

data scientist

data engineer

senior software engineer

senior data scientist

senior data engineer

SUPPLIER.IO

<div><p>Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact.</p><p></p><p><br>
Our solutions empower today&rsquo;s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community.</p><p></p><p><br>
Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io.</p><p><b><br>
The Opportunity</b></p><p>
Supplier.io is expanding our data engineering team and is seeking a Senior Data Engineer to play a critical role in scaling and modernizing our data platform. This role is ideal for a highly experienced, hands-on engineer who thrives in complex environments and enjoys mentoring others while collaborating across teams, geographies, and disciplines.</p><p></p><p><br>
As a Senior Data Engineer, you will drive, shape and execute our long-term data strategy, design resilient and scalable data architectures, and technical excellence across our data ecosystem. You will work closely with Product, DevOps, and Product Engineering teams to ensure our data systems support business growth and data-driven decision making.</p><p></p><p><br>
To support Supplier.io growth, we are investing heavily in cloud-native, data-driven technologies. This role will be instrumental in leveraging modern data services, optimizing cost, and ensuring our data platform is secure, reliable, and scalable.</p><p></p><p><b><br>
What</b> <b>You</b> <b>Will Do</b></p><ul><li>
Drive Data Architecture: Lead the implementation of scalable, fault-tolerant data infrastructure that powers our advanced data platform.</li><li>
Lead Technical Strategy: Partner with senior colleagues to define and execute a cohesive data strategy that aligns technical solutions with company objectives.</li><li>
Mentorship &amp; Code Quality: Mentor mid-level and junior engineers, conduct code reviews, and enforce best practices for Python, SQL, and data modeling.</li><li>
Evaluate &amp; Innovate: Proactively identify, evaluate, and integrate new technologies (such as SQL Mesh) to future-proof our stack.</li><li>
Cloud Native Workflow: Establish and maintain CI/CD pipelines, branching strategies, and project workflows using Azure DevOps and Jira.</li><li>
Reliability &amp; Governance: Champion data quality, security, and governance standards and ensure robust monitoring and alerting are in place.</li><li>
Documentation: Own the technical documentation strategy, ensuring high-level architecture diagrams and runbooks are kept current.</li><li>
Perform other duties as assigned.</li></ul><p></p><p><b><br>
What</b> <b>You will</b> <b>Need to Succeed:</b></p><ul><li>
Bachelor of Computer Science, Management Information System, Engineering, Data Science, or related field.</li><li>
7+ years of progressive experience in data engineering with demonstrated ownership of complex data systems in production environments. At least 2 years in a senior or lead capacity preferred.</li><li>
Advanced experience designing, building, and supporting Snowflake based solutions at scale.</li><li>
Proven experience architecting and implementing large-scale data solutions (i.e. Azure, AWS, GCP, or multi-cloud environments).</li><li>
Strong expertise in data modeling, ETL/ELT processes, and modern data warehousing principles.</li><li>
Expert-level proficiency in Python and SQL with the ability to write reusable, modular, and efficient code.</li><li>
 Strong experience with orchestration tools (e.g., Airflow) or transformation frameworks (e.g., SQL Mesh). Experience working in an agile development environment and collaborating through ticketing systems such as Jira and Azure DevOps.</li><li>
Ability to communicate technical concepts clearly to technical and non-technical teams and influence decision-making.</li><li>
Strong problem-solving skills with the ability to troubleshoot and resolve ambiguous, high-impact issues.</li><li>
A results-oriented mindset with a demonstrated history of driving process improvements and technical excellence.</li><li>
Ability to work independently while also serving as a trusted technical partner and mentor to others along</li><li>
Ability to take vague requirements and turn them into technical roadmaps.</li></ul><p></p><p><b><br>
We do no accept unsolicited resumes from recruitment/search firms.</b></p></div><p></p>

Senior Data Engineer

Cargill

<div><div><div><h2 class="jobSectionHeader"><b>Job Purpose and Impact</b></h2>
</div><div><p>
We are seeking a highly experienced Senior Engineer with strong expertise across <b>API engineering, platform development, and data engineering</b>. The ideal candidate will design, build, and optimize scalable services, data pipelines, and digital platforms that power enterprise applications. This role requires deep technical proficiency, strong architectural thinking, and the ability to collaborate with cross-functional teams to deliver high-quality, reliable, and secure solutions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Accountabilities</b></h2>
</div><div><p><b>
Core Responsibilities</b></p><p><b>
API &amp; Platform Engineering</b></p><ul><li>
Design and develop <b>high‑performance, secure, and scalable APIs</b> using Java, Spring, and Hibernate.</li><li>
Build and maintain <b>microservices-based architectures</b> ensuring robustness, modularity, and efficiency.</li><li>
Engineer and support digital platform components, infrastructure, and foundational services.</li><li>
Implement and optimize <b>CI/CD pipelines</b>, automated deployments, and cloud-native release processes.</li><li>
Integrate with API Gateways and manage <b>API lifecycle management</b>, versioning, logging, and monitoring.</li><li>
Troubleshoot production issues, ensure service reliability, and provide ongoing technical support.</li><li>
Write unit, integration, and performance tests; participate in peer code reviews to ensure code quality.</li><li>
Maintain comprehensive <b>technical documentation</b>, architectural diagrams, and configuration details.</li></ul><p><b>
Data Engineering</b></p><ul><li>
Design, automate, and optimize <b>scalable data pipelines</b> for batch and real-time ingestion, transformation, and aggregation.</li><li>
Develop and maintain <b>ETL/ELT workflows</b> using AWS Glue, Python, SQL, and other cloud-native tools.</li><li>
Support migration and integration across multiple data platforms like <b>Hadoop, Snowflake, AWS, and Oracle</b>.</li><li>
Implement data modeling, data warehousing, and performance optimization strategies.</li><li>
Monitor, troubleshoot, and resolve issues across data workflows ensuring reliability and data integrity.</li><li>
Contribute to engineering best practices, code reviews, and CI/CD enhancements for data processes.</li><li>
Partner with analysts, data scientists, and business stakeholders to understand requirements and deliver scalable solutions.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><p></p><div><ul><li><div><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field with minimum 9 years of work experience.</li><li>
Strong expertise in <b>Java, Spring Framework, Hibernate</b></li><li>
Hands-on experience with <b>Python</b> and scalable data processing</li></ul><ul><li>
Proficiency with <b>AWS services</b>, API Gateway, Lambda, EC2, S3, IAM</li><li>
Experience in <b>CI/CD</b> (GitLab, Jenkins, CodePipeline, or similar)</li><li>
Cloud-native logging &amp; monitoring tools (e.g., <b>Datadog</b>)</li></ul><ul><li>
SQL and advanced data transformation skills</li><li>
Experience with <b>Snowflake, Hadoop ecosystem, AWS Glue</b></li><li>
Strong understanding of <b>data modeling</b>, warehousing, and performance tuning</li><li>
Familiarity with Oracle and BI tools such as Tableau</li></ul><p><b>
Architecture &amp; Integration</b></p><ul><li>
Microservices architecture and API lifecycle management</li><li>
Real-time and batch data pipeline integration</li><li>
Strong understanding of distributed systems and scalable design</li></ul></div></li></ul></div></div></div><p></p>

Hewlett Packard Enterprise | HPE

<div>Senior Data Engineer<p><br>
</p>This role has been designed as &lsquo;&rsquo;Onsite&rsquo; with an expectation that you will primarily work from an HPE office.<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Who We Are:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today&rsquo;s complex world. Our culture thrives on finding new and better ways to accelerate what&rsquo;s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p><p><b>
Job Description:</b></p><p><br>
</p><p>Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the &ldquo;Intelligent Edge&rdquo; &ndash; and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what&rsquo;s next for you.</p><p><b>
Job Description: Senior Data Engineer</b></p><p><b>
Employment Type:</b> Full-time</p><p><b><br>
About the Role</b></p><p>
We are looking for a talented <b>Senior Data Engineer</b> to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.</p><p><br>
You&rsquo;ll collaborate closely with other Senior Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.</p><p><b><br>
What You&rsquo;ll Do</b></p><p><b>
Engineering &amp; Delivery</b></p><ul><li><b>
Build, maintain, and optimize data pipelines</b> for batch and streaming workloads.</li><li>
Develop reliable data models and transformations to support analytics, reporting, and operational use cases.</li><li>
Integrate new data sources, APIs, and event streams into the platform.</li><li>
Implement data quality checks, testing, documentation, and monitoring.</li><li>
Write clean, performant SQL and Python code.</li><li>
Contribute to improving performance, scalability, and cost-efficiency across the data platform.</li></ul><p></p><p><b>
Collaboration &amp; Teamwork</b></p><ul><li>
Work closely with other senior engineers and architects to implement architectural patterns and best practices.</li><li>
Collaborate with analysts and data scientists to translate requirements into technical solutions.</li><li>
Participate in code reviews, design discussions, and continuous improvement initiatives.</li><li>
Help maintain clear documentation of data flows, models, and processes.</li></ul><p></p><p><b>
Platform &amp; Process</b></p><ul><li>
Support the adoption and roll-out of new data tools, standards, and workflows.</li><li>
Contribute to DataOps processes such as CI/CD, testing, and automation.</li><li>
Assist in monitoring pipeline health and resolving data-related issues.</li></ul><p></p><p><b>
What you need to bring:</b></p><ul><li>
6-10 years of experience as a Data Engineer or similar role.</li><li><b>
Hands-on experience with Snowflake (mandatory)</b>&mdash;including SQL, modeling, and basic optimization.</li><li>
Strong knowledge of current arhitecure best practices of data pipelines and DWH.</li><li><b>
Experience with dbt (or similar)</b>&mdash;model development, tests, documentation, and version control workflows.</li><li>
Strong SQL skills for data modeling and analysis.</li><li>
Proficiency with <b>Python</b> for pipeline development and automation.</li><li>
Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent).</li><li>
Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices.</li><li>
Familiarity with cloud environments (AWS, GCP, or Azure).</li><li>
Knowledge of data quality, observability, or monitoring concepts.</li><li>
Good communication skills and the ability to collaborate with cross-functional teams.</li></ul><p><b><br>
Nice to Have</b></p><ul><li>
Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).</li><li>
Experience with data governance or cataloging tools.</li><li>
Basic understanding of ML workflows or MLOps concepts.</li><li>
Experience with infrastructure-as-code tools (Terraform, CloudFormation).</li><li>
Familiarity with testing frameworks or data validation tools.</li></ul><p></p><div><div><div><div><div><div><div><p><b>
Additional Skills:</b></p></div></div></div></div></div></div></div>
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing &amp; Automation, User Experience (UX)<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
What We Can Offer You:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Health &amp; Wellbeing</b></p><p>
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.</p><p></p><p><b>
Personal &amp; Professional Development</b></p><p>
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have &mdash; whether you want to become a knowledge expert in your field or apply your skills to another division.</p><p></p><p><b>
Unconditional Inclusion</b></p><p>
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><b>
Let's Stay Connected:</b></p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p></p>#india
#aruba<p></p><p><b>
Job:</b></p>
Engineering<p><b>
Job Level:</b></p>
TCP_04<p><br>
</p><p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p>HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><p><b>
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.</b></p><p><br>
</p><p>HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.</p><p><br>
</p><p><b>No Fees Notice &amp; Recruitment Fraud Disclaimer</b></p><p></p><p><i><br>
It has come to HPE&rsquo;s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates.</i></p><p></p><p><i><br>
Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment </i><i>agencies/vendors </i><b><i>will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. </i></b><i>The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.</i></p></div>

FirstPoint Global Solutions

<p>We are seeking an experienced and highly skilled <b>Senior Data Engineer</b> to join our team in an <b>on-site role</b>. This position is ideal for a technically strong professional who excels at building scalable data systems, optimizing data pipelines, and ensuring data quality and performance across the organization.</p><p>You will play a critical role in shaping our data infrastructure and supporting data-driven decision-making.</p><p>Key Responsibilities</p><p>In this role, you will be responsible for:</p><ul><li>Designing, building, and maintaining scalable and reliable data pipelines</li><li>Developing and managing data warehouses, data lakes, and ETL/ELT workflows</li><li>Ensuring data quality, integrity, availability, and security</li><li>Optimizing data performance, scalability, and cost efficiency</li><li>Collaborating with data scientists, analysts, and engineering teams</li><li>Supporting analytics, reporting, and machine learning initiatives</li><li>Implementing best practices for data modeling, governance, and documentation</li><li>Monitoring data workflows and troubleshooting performance issues</li><li>Managing data integrations from multiple internal and external sources</li><li>Contributing to data architecture decisions and long-term strategy</li><li>Mentoring junior data engineers and providing technical guidance</li></ul><p>Required Skills &amp; Experience</p><p>To be successful in this role, you must have:</p><ul><li>Proven experience as a <b>Senior Data Engineer</b> or in a similar role</li><li>Strong proficiency in <b>SQL</b> and advanced data modeling techniques</li><li>Hands-on experience with data warehouses and big data technologies</li><li>Experience designing and optimizing <b>ETL/ELT pipelines</b></li><li>Strong programming skills in <b>Python, Java, or Scala</b></li><li>Experience with cloud platforms such as <b>AWS, Azure, or GCP</b></li><li>Solid understanding of data architecture, performance tuning, and scalability</li><li>Experience working with large, complex datasets in production environments</li><li>Strong analytical and problem-solving skills</li></ul><p><b>Nice to Have:</b></p><ul><li>Experience with tools such as <b>Airflow, dbt, Spark, Kafka, Snowflake, or Databricks</b></li><li>Knowledge of data governance, security, and compliance standards</li><li>Experience with CI/CD pipelines for data workflows</li><li>Familiarity with BI tools or machine learning pipelines</li></ul><p>What We&rsquo;re Looking For</p><p>You are:</p><ul><li>Comfortable working in an <b>on-site, collaborative environment</b></li><li>Detail-oriented with a strong focus on data accuracy and reliability</li><li>Strategic in approach while remaining hands-on</li><li>Able to take ownership of complex data initiatives</li><li>A collaborative team player and technical mentor</li><li>Adaptable in a fast-paced and evolving data environment</li></ul><p>What We Offer</p><ul><li>Full-time <b>on-site position</b></li><li>Competitive salary based on experience</li><li>Comprehensive benefits package</li><li>Opportunity to work on large-scale, enterprise data platforms</li><li>Supportive and collaborative work culture</li><li>Career growth and leadership opportunities</li></ul><p>Apply Today</p><p>If you have strong experience in <b>data engineering</b> and are passionate about building scalable data systems, we encourage you to apply.</p><p>Please include details of your <b>relevant experience, key projects, or technical expertise</b> with your application.</p><p>Job Type: Full-time</p><p>Pay: ₹80,000.00 - ₹110,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

MASTER MIND CONSULTANCY

<div><p>Job Title : Senior Data Engineer<br>
<br>
Experience : 7-12 Years<br>
<br>
Location : Bengaluru<br>
<br>
Shift Time : 8:00am to 5:00pm or 1.30pm to 10.30pm<br>
<br>
Roles &amp; Responsibilities:</p>
<ul><li>Design and maintain scalable, automated data pipelines and ETL processes on Microsoft Azure.<br>
</li><li>Oversee data infrastructure to ensure performance, resiliency, and operational efficiency.<br>
</li><li>Collaborate with data science, analytics, and architecture teams to deliver high-quality data solutions.<br>
</li><li>Optimize data workflows for speed, reliability, and scalability.<br>
</li><li>Ensure data quality using validation frameworks and best practices.<br>
</li><li>Create and maintain documentation for data processes and configurations.<br>
</li><li>Troubleshoot and resolve data pipeline issues promptly.<br>
</li><li>Stay updated with new technologies and implement improvements.<br>
</li><li>Manage CI/CD processes for deploying and maintaining data solutions.<br>
</li><li>Guide and mentor junior data engineers.</li>
</ul>Requisites:
<ul><li>Strong knowledge of Azure Data Engineering tools (ADF, Synapse, Databricks, Fabric, Data Lake, Blob).<br>
</li><li>Proficiency in SQL and working with modern RDBMS.<br>
</li><li>Solid understanding of software engineering fundamentals (CI/CD, testing, version control).<br>
</li><li>Experience with big data technologies like Spark.<br>
</li><li>Strong problem-solving, analytical, and communication skills.<br>
</li><li>Preferred: Python/Scala/Java, PySpark, modern file formats (Parquet, Delta, Avro), API integrations, Git, Azure DevOps, Ansible.</li></ul></div>

Mastercard

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Senior Data Engineer<p></p>
We are looking for a Data Engineer to join the Data Engineer team. This is a pivotal role, responsible for supporting multiple Data Analysts and Data Scientists day-to-day and assisting various data-driven requests across the company. The position involves a wide variety of technical skills, from coding to infrastructure, from data analysis to database management. The ideal candidate will have experience working with large-scale data and building automated data ETL processes for large-scale data analysis. ODS or data warehousing experience would be ideal.<br>
<br>
Key responsibilities include:
<br>
<ul><li>Build and maintain database technologies, environments, and applications, seeking opportunities for improvements and efficiencies.</li><li>Should have strong hands-on experience and knowledge on PL/SQL and Java and Spring boot</li><li>Write SQL statement procedures to optimize SQL execution and query development.</li><li>Effectively utilizes various technology like PL/SQL packages for ETL.</li><li>Manages the deployment of data solutions that are optimally standardized and database updates to meet project deliverables.</li><li>Leads database security posture, which includes proactively identifying security risks and implementing both risk mitigation plans and control functions.</li><li>Supports process improvement efforts to identify and test opportunities for automation and/or reduction in time to deployment.</li><li>Participating in the entire solution development cycle from requirement gathering to solution deployment.</li><li>Working with multiple stakeholders across teams to fulfill ad-hoc investigations, including large-scale data extraction, transformation, and analyses.</li><li>Supporting production code to produce comprehensive and accurate data artifacts.</li><li>Promoting strategies to improve our data modeling, quality, and architecture.</li></ul><br>
All About You:
<br>
<ul><li>Should have experience working on Oracle (PL/SQL) writing optimized SQL queries and packages</li><li>Skilled in Java and Spring boot to write application programming code/ build services.</li><li>Highly skilled in SQL knowledge and relational databases.</li><li>Experienced with developing and maintaining data pipelines for the extraction, transformation, and/or loading of large-scale data (knowledge on any ETL is good to have).</li><li>Strong with Data warehousing concepts and ETL concepts.</li><li>Experienced with working with large data sets. You&rsquo;ve implemented parallel processing and have dealt with the limitations and challenges of working with terabytes of data.</li><li>Strong analytics skills related to working with unstructured datasets.</li><li>Experienced with performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li><li>Experienced with database administration and query optimization with different databases.</li><li>Capable of effectively communicating requirements and solutions to audiences with different skill sets.</li><li>Familiarity with the core requirements of data analysis and/or presentation.</li><li>Focused, innovative, and self-sufficient problem solver who is willing to independently and creatively deep-dive into an issue, cut to the heart of a problem, and solve it.</li></ul><br>
Bonus Points if:<br>
You have any prior experience with any of the following:
<br>
<ul><li>Jenkins, JFrog, Datadog, Splunk.</li><li>Familiarity with cloud data platforms like Snowflake and Databricks.</li><li>Knowledge on application programming Spark (Scala).</li><li>Javascript, regex</li><li>BI Tools: PowerBI, Tableau</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Simpel Techlabs Private Limited

<p><b>Job Summary</b></p><p>We are looking for a skilled Senior Data Engineer with 2&ndash;4 years of experience to join our team. The role is hands-on and focuses on building, optimizing, and supporting scalable big data solutions using modern data engineering technologies and cloud platforms. You will work closely with cross-functional teams in an Agile environment to deliver high-quality data solutions.</p><p><b>Key Responsibilities</b></p><p>- Design, develop, implement, and support scalable and high-performance data engineering solutions</p><p>- Write, test, and optimize production-grade code</p><p>- Work closely with Tech Leads, product owners, architects, and analysts</p><p>- Build and maintain real-time and batch data pipelines</p><p>- Troubleshoot and resolve development and production issues</p><p>- Provide technical support and recommend improvements to existing systems</p><p>- Advocate engineering best practices and agile principles</p><p>- Contribute actively as a squad member in an Agile/Scaled Agile environment</p><p><b>Required Skills &amp; Qualifications</b></p><p>- 2&ndash;4 years of experience in Data Engineering or Software Engineering roles</p><p>- Strong experience with Python and PySpark</p><p>- Hands-on experience with Big Data frameworks such as Apache Spark, Kafka, and Hadoop</p><p>- Experience with AWS Big Data services including S3, Glue, EMR, Athena, Redshift, RDS, Kinesis</p><p>- Experience with relational databases such as Oracle or SQL Server</p><p>- Strong SQL skills, including complex query writing</p><p>- Experience with source control tools such as GitHub or Azure DevOps</p><p>- Good verbal and written communication skills</p><p><b>Good to Have</b></p><p>- Experience with CDC tools such as Debezium</p><p>- Knowledge of data warehousing concepts and BI tools</p><p>- Experience in data modeling</p><p>- Exposure to CI/CD pipelines, Jenkins, and workflow orchestration</p><p>- Experience working in Agile, CI/CD, and Continuous Delivery environments</p><p><b>Why Join Us?</b></p><p>- Competitive compensation (₹6&ndash;12 LPA)</p><p>- Opportunity to work on real-world, large-scale data platforms</p><p>- Exposure to modern Big Data and cloud technologies</p><p>- Collaborative and growth-oriented engineering culture</p><p>Job Types: Full-time, Permanent</p><p>Pay: ₹600,000.00 - ₹1,200,000.00 per year</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Health insurance</li><li>Leave encashment</li><li>Life insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Work from home</li></ul><p>Work Location: In person</p>

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