aws software development engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><p>TCS Inviting Applications for Bangalore Walk-In<br>
<br>
Role: AWS Data Engineer<br>
<br>
Exp: 5-12 yr<br>
Location : Bangalore walk-in<br>
<div><div><div><div><div><div><div>The role will require deep knowledge of data engineering techniques to create data pipelines and build data assets to meet reporting requirements and deliver use cases for the business.</div></div></div></div><br>
</div><br>
<div><div><div><div><div>Work as part of an Agile software delivery team; typically delivering within an Agile Scrum framework.</div></div></div></div><br>
</div><br>
<div><div><div><div><div>Analyse data sources, data structure and combine data from multiple sources into a functioning dataset and can publish to visualisation tools</div>
</div>
</div></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>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>383820</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS | BigData</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER APPLICATION, BACHELOR OF COMPUTER SCIENCE, BACHELOR OF ENGINEERING</div></div></div><div></div>

AWS Data Engineer

SoftwareOne

<div>Job Function: Software &amp; Cloud The role:
<div>
We are seeking an experienced AWS Cloud Consultant with strong expertise in cloud architecture, migration strategies, and managed services. You will lead enterprise-scale migrations from on-premise to AWS, design secure and scalable solutions, and provide strategic guidance to clients.</div><h4 class="jobSectionHeader"><b>
Key Responsibilities</b></h4><ul><li>
Design and execute AWS migration strategies for enterprise workloads.</li><li>
Assess existing infrastructure, define cloud readiness and migration roadmaps.</li><li>
Deploy and configure AWS services (EC2, RDS, VPC, S3, Lambda, ECS, EKS).</li><li>
Manage AWS Managed Services: automation, monitoring, security, cost optimization.</li><li>
Implement IaC using Terraform, Ansible, or CloudFormation.</li><li>
Ensure compliance with AWS best practices, IAM policies, and governance frameworks.</li><li>
Oversee network and database architectures for hybrid setups.</li><li>
Mentor team members and enforce CI/CD best practices.</li><li>
Troubleshoot production issues and perform Well-Architected Framework Reviews.</li><li>
Stay updated on AWS innovations and contribute to AI, IoT, and edge computing projects.</li></ul>
What we need to see from you:
<ul><li>Bachelor's or Master's degree with experience in the relevant field</li><li>
8+ years of experience in cloud architecture, with at least 6 years specializing in AWS.
</li><li>Strong hands-on experience with AWS services, architecture design, and cloud governance.</li><li>
Expertise in cloud migration tools such as AWS Migration Hub, CloudEndure, or AWS DataSync.</li><li>
Experience managing Managed Services operations, including automation, patching, monitoring, and backup.</li><li>
Good understanding of security best practices (IAM, KMS, VPC Security Groups).</li><li>
Knowledge of tools like Terraform, Ansible, or CloudFormation for Infrastructure as Code (IaC).</li><li>
Deep infrastructure knowledge, encompassing compute, storage, networking (e.g., Direct Connect, Global Accelerator), database management (e.g., multi-AZ deployments, read replicas), multi-account setups, AWS organizations, Control Tower and security (IAM, encryption, logging, Governance &amp; Compliance)</li><li><b>
Certifications</b></li><li>
AWS Solution Architect &ndash; Professional level (Mandatory)</li><li>
AWS CloudOps Engineer Associate (Mandatory)</li><li>
Terraform Associate certification (Important)</li></ul>
Why SoftwareOne?:<div></div><div><br>
SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you&rsquo;ll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global.</div></div><div></div>

AWS Consultant

Arthur Grand

<p>Arthur Grand Technologies is currently seeking a highly motivated of <b>Data Engineer for </b>one of our clients.</p><p><b>Position : AWS Data Engineer</b></p><p><b>Location : Bangalore, Hyderabad, Pune</b></p><p><b>Duration : Fulltime</b></p><p><b>Mandatory Skills: Very strong on Python, Pyspark, AWS, Glue</b></p><p><b>Must Have:</b></p><ul><li>Coding: Proficiency in Python</li><li>Cluster Computing frameworks: Proficiency in Spark and Spark SQL</li><li>AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge</li><li>AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

<div></div><div><div><div><div><p>Inviting Applications for Azure Devops Engineer</p>
<p><b>
Job description:</b></p>
<p>
Job Title: AWS Data Engineer/Python</p>
<p>
Location: Chennai</p>
<p>
Experience Range: 5-10 yrs</p>
<p><b>
JD:</b></p>
<p>
Good hands on experience in Python programming and Pyspark &middot; Data Engineering experience using AWS core services (Lambda, Glue, EMR and RedShift) &middot; Required skill set- SQL, Airflow</p>
</div></div></div><div><div><div><b>Location</b></div>
<div>Chennai</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>384630</div>
</div><div><div><b>Desired Skills</b></div>
<div>AWS | Python</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

AWS Data Engineer/Python

HR Ways

<p><b>Client C</b>&#65279;<b>ompany Introduction:</b><br/><b>&#65279;*It is a leading </b>&#65279;&#65279;*software engineering company delivering innovative, AI-powered platforms for global clients.</p><p>&#65279;Opening: <b>AWS Data Engineer (AWS Integration)</b></p><p><b>Key Responsibilities:Data Lake Architecture:</b><br/>-Design, implement, and maintain a data lake on AWS using Iceberg tables on S3, ensuring data consistency, high availability, and easy querying. &#65279;<br/>&#65279;-Work with AWS Glue for ETL processes, creating Glue jobs to process, transform, and load data from SQL Server and other sources into Iceberg tables.<br/>&#65279;&#65279;-Implement and optimize Spark-based data transformations in AWS Glue, ensuring efficient and scalable data workflows.<b>&#65279;</b><br/>&#65279;<br/><b>&#65279;SQL Server to AWS Migration:</b><br/>&#65279;-Lead the migration of on-premises SQL Server data to AWS S3 using AWS Glue, DMS, and other relevant tools.<br/>&#65279;-Design and implement CDC (Change Data Capture) pipelines to enable real-time data replication from SQL Server to AWS services like S3, Iceberg, and Redshift.<br/>&#65279;<br/><b>&#65279;Data Integration &amp; Management:</b><br/>&#65279;-Design and implement data pipelines for batch and real-time data processing, leveraging AWS DMS, Kinesis, and Glue Streaming.<br/>&#65279;-Automate data loading, transformation, and archiving processes with Glue and ensure the correct data schema management and data governance.<br/>&#65279;-Set up and maintain data cataloging systems using AWS Glue Data Catalog to organize and manage metadata for Iceberg tables.<br/>&#65279;<br/><b>&#65279;Querying with Athena:</b><br/>&#65279;-Use AWS Athena for querying Iceberg tables on S3, enabling high-performance, low-latency SQL querying on large datasets stored in Iceberg format.<br/>&#65279;-Optimize Athena queries to improve performance and manage large-scale data sets effectively.<br/>&#65279;-Design efficient partitioning strategies and manage the Iceberg tables using Athena's native support for Iceberg.<br/>&#65279;<br/><b>&#65279;Continuous Improvement &amp; Optimization:</b><br/>&#65279;-Implement data compaction strategies to reduce small file issues in Iceberg and optimize storage and query performance.<br/>&#65279;-Continuously monitor, troubleshoot, and optimize data pipelines for performance, cost efficiency, and data quality.<br/>&#65279;<br/>&#65279;Collaboration &amp; Documentation:<br/>&#65279;-Work closely with data scientists, analysts, and business teams to understand data needs and develop solutions that support their goals.<br/>&#65279;-Provide clear documentation on architecture, solutions, and workflows to ensure smooth knowledge transfer and maintainability.<br/>&#65279;<br/><b>&#65279;Required Skills &amp; Qualifications:</b><br/><b>&#65279;Experience:</b><br/>&#65279;-Proven experience (3+ years) in data engineering roles with expertise in SQL Server, AWS services, and Iceberg.<br/>&#65279;-Hands-on experience with <b>AWS Glue, AWS DMS, S3, and Kinesis </b>in building scalable and reliable data pipelines. -Solid understanding of Change Data Capture (CDC) and its implementation with SQL Server and AWS DMS.<br/>&#65279;-Experience with Apache Iceberg for building data lakes and managing large-scale, versioned data on S3.<br/>&#65279;-Strong knowledge of ETL processes, data modeling, and data transformation using Spark and Glue.<br/>&#65279;-AWS Athena experience for querying and managing Iceberg tables in S3.<br/><b>&#65279;</b><br/><b>&#65279; Technical Skills:</b><br/>&#65279;-SQL Server: Expertise in database administration, SQL queries, stored procedures, and performance tuning.<br/>&#65279;-AWS Glue: Experience in creating, debugging, and deploying Glue jobs and managing Glue Data Catalog.<br/>&#65279;-AWS DMS: Experience with migrating and replicating data from SQL Server to AWS cloud services, including CDC.<br/>&#65279;-Apache Iceberg: Practical knowledge of Iceberg table formats, partitioning, compaction, and schema evolution.<br/>&#65279;-AWS S3: Experience managing large datasets in S3, implementing partitioning strategies, and optimizing storage.<br/>&#65279;-Kinesis: Familiarity with real-time streaming data pipelines using Kinesis Data Streams and Glue Streaming.<br/>&#65279;-AWS Athena: Strong experience querying Iceberg tables and optimizing large-scale data queries.<br/>&#65279;<br/><b>&#65279; Tools &amp; Technologies:</b><br/>&#65279;-Apache Spark (for Glue and standalone Spark jobs)<br/>&#65279;-SQL, Python, AWS SDK for automation, and scripting tasks.<br/>&#65279;-Data governance: Experience with AWS Lake Formation for security and access management in a data lake environment.<br/>&#65279;<br/><b>&#65279;Desired Soft Skills:</b><br/>&#65279;-Strong problem-solving skills with the ability to troubleshoot complex data issues.<br/>&#65279;-Ability to collaborate effectively with cross-functional teams (data scientists, analysts, DevOps, and stakeholders).<br/>&#65279;-Strong communication skills to document and explain technical concepts clearly to both technical and non-technical audiences.<br/>&#65279;-Detail-oriented with a focus on data quality, integrity, and performance.</p><p>&#65279;<b>Experience: </b>3 + years<br/>&#65279;<b>Work Timings: </b>(Monday to Fri:11:30 AM - 8 PM)&#65279;<br/><b>&#65279;Work Mode:</b> Hybrid - Kolkata and Ahmadabad, India (Remote from Ahmadabad, India)<br/><b>&#65279;Salary:</b> Tax-free (USD)&#65279;</p><p>&#65279;&#65279;&#65279;<b>About HR Ways:</b> HR Ways is an award-winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from the world's biggest SaaS Companies to the most competitive Startups. We have entities in Dubai, Canada, the US, the UK, Pakistan, India, Saudi Arabia, Portugal, Brazil, and other parts of the world. Join our Whatsapp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.</p><p>Job Type: Full-time</p>

<div></div><div><div><div><div><p>TCS is hiring for AWS Data Engineer role</p>
<p>
Exp: 5 to 10 years</p>
<p>
Interview Mode: Walkin</p>
<p>
Interview Date: 20-Dec-25 (Saturday)</p>
<p>
Interview Venue: Sholinganallur - Chennai</p>
<p>
Job Description:</p>
<div>
<div><ul><li>Good hands-on experience in Python programming and Pyspark/Scala</li></ul>
<ul><li>Data Engineering experience using AWS core services (Lambda, Glue, EMR, S3 and RedShift)</li></ul>
<ul><li>Good knowledge on any of the ETL tools and SQL&rsquo;s</li></ul>
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Chennai</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>383838</div>
</div><div><div><b>Desired Skills</b></div>
<div>Digital : PySpark | AWS | Python</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Apple

<p>Collection of our people and their ideas encourage innovation in everything we do. Imagine what you could do here! Join Apple, and help us leave the world better than we found it. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to be part of a team that builds cutting edge software service, a team that is continually innovating and is proud of making a difference? If so, bring your passion and talent and come join us to be part of something big and amazing. Apple&rsquo;s AML (Applied Machine Learning) team is looking for highly motivated and dedicated BigData Software Site Reliability Engineers to build and operate the next generation of platform, frameworks and software services that powers several critically important applications.<br>
<br>
<b>Description</b><br>
We work on Apple scale opportunities and challenges. We are engineers at heart. We like solving technical problems. We believe that a good SRE must be a good software engineer and can code anything which has a logic and pattern to it. We believe a good engineer has the curiosity to dig into inner workings of technology and is always experimenting, reading and in constant learning mode. If you are a software engineer with passion to code and dig deeper into any technology, love knowing the internals, fascinated by distributed systems architecture, we want to hear from you. The person should be capable of exhibiting deftness to handle multiple simultaneous competing priorities and deliver solutions in a timely manner. The person will have to participate in 12x7 on-call rotation and provide incident resolution for the production issues in timely manner. The person should be able to understand complex architectures and be comfortable working with different teams<br>
<br>
<b>Preferred Qualifications</b><br>
Problem Solving: Demonstrated ability to independently troubleshoot and resolve complex technical issues.<br>
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Creative Thinking: A track record of proposing and implementing innovative solutions to technical challenges.<br>
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Strong communication and collaboration abilities.<br>
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Willingness to learn and adapt to new technologies rapidly.<br>
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Ownership mindset and accountability for deliverables.<br>
<br>
<b>Minimum Qualifications</b><br>
Experience: 3+ years in software site reliability engineering or software development roles.<br>
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Programming: Proficient in at least one of Python, Golang, or Java.<br>
<br>
Data Structures &amp; Algorithms: Strong foundation and application experience.<br>
<br>
Distributed Systems: Solid understanding and hands-on experience managing at least one distributed system (e.g., Kafka, Cassandra, Hadoop, Redis, or similar).<br>
<br>
Kubernetes: Expertise in Kubernetes ecosystem (deployment, configuration, monitoring, and operation).<br>
<br>
Cloud Platforms: Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud Platform).<br>
<br>
KEY RESPONSIBILITIES<br>
Design, develop, and automate: Build tools, frameworks and solutions to improve reliability, scalability, and efficiency across systems.<br>
<br>
Monitor and maintain: Implement advanced monitoring and alerting for cloud and containerized workloads.<br>
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Troubleshoot and solve: Respond to and resolve complex production incidents, and perform root cause analysis.<br>
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Collaborate: Work closely with development and operations teams to integrate reliability best practices throughout the software lifecycle.<br>
<br>
Optimize: Proactively recommend improvements in architecture, deployment, and operations for distributed systems.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</p>

AML Software - Site Reliability Engineer

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