aws data engineer

Cigres Technologies

<p></p><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Bengaluru, Karnataka, India</div></div><div><div>
Job Type</div></div><div><div>
Full Time</div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><div><div><div>
About the Role</div></div><div><div>
As an AWS Data Engineer, you will lead the design and development of scalable data solutions on AWS. You will drive architectural decisions and ensure best practices in data engineering across the organization. Key Responsibilities:
<br>
<br>
<ul><li>Architect and implement scalable, secure, and cost-effective data platforms on AWS
</li></ul><br>
<ul><li>Lead the development of complex ETL/ELT pipelines and data workflows
</li></ul><br>
<ul><li>Define and enforce data engineering standards and best practices
</li></ul><br>
<ul><li>Collaborate with data scientists, analysts, and business teams to deliver data solutions</li></ul><br>
<ul><li>Conduct code reviews and ensure high-quality deliverables
</li></ul><br>
<ul><li>Optimize data workflows for performance and cost-efficiency
</li></ul><br>
<ul><li>Ensure data quality, governance, and security across platforms
</li></ul><br>
<ul><li>Collaborate with cross-functional teams to understand data requirements
</li></ul><br>
<ul><li>Monitor and troubleshoot data pipelines and infrastructure Technical Requirements:
</li></ul><br>
<ul><li>Bachelor&rsquo;s degree in computer science, Engineering, or related field
</li></ul><br>
<ul><li>5-8 years of experience in data engineering, with at least 3 years hands on expertise in AWS Cloud Big data platform
</li></ul><br>
<ul><li>Proficiency in Python, SQL, Spark, and AWS data services
</li></ul><br>
<ul><li>Strong understanding of data architecture, data modeling, and warehousing
</li></ul><br>
<ul><li>Experience with DevOps practices and tools (CI/CD, monitoring, IaC)
</li></ul><br>
<ul><li>Hands-on experience with AWS services: Glue, S3, Redshift, Lambda, CloudWatch, IAM
</li></ul><br>
<ul><li>Experience with CI/CD tools and infrastructure-as-code (e.g., Terraform, CloudFormation)
</li></ul><br>
<ul><li>Experience with Git for version control and collaborative development</li></ul></div></div><div><div>
Requirements</div></div><div></div><div><div><div><div><div><div><div><div><div><div><div>
As an AWS Data Engineer, you will lead the design and development of scalable data solutions on AWS. You will drive architectural decisions and ensure best practices in data engineering across the organization. Key Responsibilities:</div></div><div><ul><li>Architect and implement scalable, secure, and cost-effective data platforms on AWS</li></ul></div><div><ul><li>Lead the development of complex ETL/ELT pipelines and data workflows</li></ul></div><div><ul><li>Define and enforce data engineering standards and best practices</li></ul></div><div><ul><li>Collaborate with data scientists, analysts, and business teams to deliver data solutions</li></ul></div><div><ul><li>Conduct code reviews and ensure high-quality deliverables</li></ul></div><div><ul><li>Optimize data workflows for performance and cost-efficiency</li></ul></div><div><ul><li>Ensure data quality, governance, and security across platforms</li></ul></div><div><ul><li>Collaborate with cross-functional teams to understand data requirements</li></ul></div><div><ul><li>Monitor and troubleshoot data pipelines and infrastructure Technical Requirements:</li></ul></div><div><ul><li>Bachelor&rsquo;s degree in computer science, Engineering, or related field</li></ul></div><div><ul><li>5-8 years of experience in data engineering, with at least 3 years hands on expertise in AWS Cloud Big data platform</li></ul></div><div><ul><li>Proficiency in Python, SQL, Spark, and AWS data services</li></ul></div><div><ul><li>Strong understanding of data architecture, data modeling, and warehousing</li></ul></div><div><ul><li>Experience with DevOps practices and tools (CI/CD, monitoring, IaC)</li></ul></div><div><ul><li>Hands-on experience with AWS services: Glue, S3, Redshift, Lambda, CloudWatch, IAM</li></ul></div><div><ul><li>Experience with CI/CD tools and infrastructure-as-code (e.g., Terraform, CloudFormation)</li></ul></div><div><ul><li>Experience with Git for version control and collaborative development</li></ul></div></div></div></div></div></div></div></div></div></div><div><div>
About the Company</div></div><div><div>
Cigres Technologies Private Limited is a technology consulting and services company that focuses on helping clients resolve their significant digital problems and enabling radical digital transformation using multiple technologies on premise or in the cloud. The company was founded with the goal of leveraging cutting-edge technology to deliver innovative solutions to clients across various industries.</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><div></div>

AWS Data Engineer

Techmango Technology Services

<div><div><div><div><div><b>Job Location: </b>Remote
</div><div><b>Job Experience: </b>8-20 Years
</div><div><b>Model of Work: </b>Remote
</div><div><b>Technologies: </b>AWS Redshift Snowflake
</div><div><b>Functional Area: </b>Software Development
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Summary:</b></h2>
</div><div><ul><li><b>Job Title: Lead AWS Data Engineer - Redshift &amp; Snowflake
</b><br>
<b>Location: Madurai - Remote</b><br>
<b>Experience: 8+ Years
</b><br>
<b>Employment Type: Full-time</b>
<br>
<br>
<b>About the Role</b> We are looking for a skilled Lead AWS Data Engineer with hands-on experience in building and optimizing data pipelines, designing data architectures, and working on cloud-native data solutions. The ideal candidate should have strong technical knowledge in AWS services, data integration, and real-time/batch data processing.
</li></ul></div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:
</b></h2></div><div><ul><li>We&rsquo;re looking for a seasoned Lead AWS Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You&rsquo;ll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake&mdash;ensuring data is reliable, accessible, and optimized for scale. If you thrive on solving complex problems, love optimizing systems for performance, and want to be the go-to expert in a collaborative, high-impact environment, we&rsquo;d love to meet you.
<br>
<br>
<b>What You Will Do:</b>
<ul><li>Design and maintain scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and Snowflake
</li><li>Architect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasets
</li><li>Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers
</li><li>Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments
</li></ul> Collaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirements Proactively identify and remediate performance bottlenecks, slow queries, and data inconsistencies
<ul><li>Implement and manage database change workflows using schema migration/versioning tools
</li><li>Define and promote best practices for data access, security, compliance, and observability
</li></ul><br>
<b>What You Will Bring:
</b><ul><li>8+ years of experience in database engineering or backend systems development
</li><li>Deep expertise with MySQL, Amazon Redshift, and Snowflake, including schema design and performance optimization
</li><li>Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
</li><li>Proven track record maintaining data freshness SLAs and data quality across production pipelines
</li><li>Hands-on experience with T-SQL, LinkSQL, query optimization, and indexing strategies
</li><li>Experience with query optimization, mapping tables to blocks and partitions, sub-table structure and keying/indexing for efficiency
</li><li>Experience of relational data modeling and schema versioning in support of software development.
</li><li>Experience as the sole or lead database expert on a development team.
</li><li>Familiarity with source control systems (e.g., Git/Bitbucket) and CI/CD integration.
</li><li>Strong problem solving skills are desirable.
</li><li>Transforming product requirements into workable solutions, in collaboration with several development and testing teams.
</li><li>Writing robust functions, procedures and scripts using SQL.
</li><li>Being heavily involved in the day to day running of the business dealing with support and performance issues.
</li><li>Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
</li><li>Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
</li><li>Utilize a proactive approach to foresee potential problems and address them before they impact operations.
</li></ul></li></ul></div><div><h2 class="jobSectionHeader"><b>About our Talent Acquisition Team:
</b></h2></div><div><ul><li>Arumugam Veera leads the Talent Acquisition function for <b>TechMango</b>, driving our mission to build high-performing teams and connect top talent with exciting career opportunities.
 <br>
<br>
Feel free to connect with him on <b>LinkedIn</b>: https://www.linkedin.com/in/arumugamv/
 <br>
Follow our official <b>TechMango LinkedIn page </b>for the latest job updates and career opportunities: https://www.linkedin.com/company/techmango-technology-services-private-limited/
<br>
<br>
Looking forward to connecting and helping you explore your next great opportunity with us!</li></ul></div></div></div></div></div></div><div></div>

Lead AWS Data Engineer

<div><div><div><div><div><b>Job Location: </b>Madurai
</div><div><b>Job Experience: </b>2-8 Years
</div><div><b>Model of Work: </b>Hybrid
</div><div><b>Technologies: </b>AWS
</div><div><b>Functional Area: </b>Software Development
</div></div></div></div><div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Summary:</b></h2>
</div><div><ul><li><b>Job Title: Associate AWS Data Engineer
</b><br>
<b>Location: Madurai (Hybrid)</b><br>
<b>Experience: 2+ Years
</b><br>
<b>Employment Type: Full-time</b>
<br>
<br>
<b>About the Role</b> We are looking for a skilled AWS Data Engineer with hands-on experience in building and optimizing data pipelines, designing data architectures, and working on cloud-native data solutions. The ideal candidate should have strong technical knowledge in AWS services, data integration, and real-time/batch data processing.
</li></ul></div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:
</b></h2></div><div><ul><li><b>Key Responsibilities
</b><br>
Design, develop, and maintain ETL/ELT pipelines on AWS. Work with AWS services such as S3, Redshift, Glue, Lambda, EMR, Kinesis, and Athena.
<br>
Implement data ingestion, transformation, and storage solutions.
<br>
Optimize performance of large-scale data pipelines and queries.
<br>
Ensure data quality, governance, and security across platforms.
<br>
Collaborate with business stakeholders, data analysts, and BI teams to deliver scalable data solutions.
<br>
Troubleshoot issues and perform root cause analysis in data workflows.
<br>
<br>
<b>Required Skills &amp; Experience
</b><br>
Minimum 2+ years of experience in data engineering.
<br>
Strong hands-on expertise in AWS cloud services (S3, Glue, Lambda, Redshift, EMR, Kinesis, Athena, CloudWatch).
<br>
Proficiency in SQL and experience with relational and non-relational databases.
<br>
Good knowledge of Python / PySpark / Scala for data processing.
<br>
Experience with streaming and batch data pipelines.
<br>
Familiarity with data warehousing concepts and data modeling.
<br>
Exposure to version control tools (Git) and CI/CD pipelines.
<br>
Good to Have Experience with Big Data frameworks like Hadoop/Spark.
<br>
Knowledge of Airflow or Step Functions for orchestration.
<br>
Understanding of data lake and data warehouse architectures.
<br>
Exposure to BI tools (Tableau/Power BI/QuickSight).
</li></ul></div><div><h2 class="jobSectionHeader"><b>About our Talent Acquisition Team:</b></h2>
</div><div><ul><li>Arumugam Veera leads the Talent Acquisition function for TechMango, driving our mission to build high-performing teams and connect top talent with exciting career opportunities.
 <br>
<br>
Feel free to connect with him on LinkedIn: https://www.linkedin.com/in/arumugamv/
 <br>
Follow our official TechMango LinkedIn page for the latest job updates and career opportunities: https://www.linkedin.com/company/techmango-technology-services-private-limited/
<br>
<br>
Looking forward to connecting and helping you explore your next great opportunity with us!</li></ul></div></div></div></div></div></div><div></div>

Associate/Junior AWS Data Engineer

NEC Corporation

<div><p>Company Description</p><p><b>
NEC Software Solutions (India)</b></p><p>
On 1st July 2021, Rave Technologies became NEC Software Solutions India. This change brought us under the global NEC Corporation brand. We are proud to be part of an organisation with 122 years of experience in evolution with technology and innovation.</p><p>
We have more than 30 years of experience in providing end to end IT services across the globe and have earned a reputation for delighting our customers by consistently surpassing expectations and helping them deliver robust, market-ready software products that meet the highest standards of engineering and user experience. Supported by more than 1300 exceptionally talented manpower, we are a hub for offshore support and technology services.</p><p>
We work with diverse industry verticals which include publishing, media, financial services, retail, healthcare and technology companies around the world. Our customers range from two-person startups to $bn listed companies.</p><p>
For more information, visit at www.necsws.com/india.</p><p><b>
About NEC Corporation</b></p><p>
NEC Corporation is a Japanese multinational information technology and electronics company, headquartered in Tokyo, Japan. It is recognised as a &lsquo;Top 50 Innovative Company&rsquo; globally and the NEC Group globally provides &ldquo;Solutions for Society&rdquo; that promote the safety, security, fairness and equality of society. Their main goal is to help create a safer society with their innovations in technologies.</p><p>
NEC Corporation has established itself as a leader in the integration of IT and network technologies while promoting the brand statement of &ldquo;Orchestrating a brighter world.&rdquo; NEC enables businesses and communities to adapt to rapid changes taking place in both society and the market as it provides for the social values of safety, security, fairness and efficiency to promote a more sustainable world where everyone has the chance to reach their full potential.</p><p>
For more information, visit NEC at https://www.nec.com.</p><p>
Job Description</p><p>
Experience- 5-7 yrs</p><p>
Location- Bangalore- Bellendur</p><p><b>
What we&rsquo;re looking for:</b></p><ul><li><b>
Experience</b>: 5 to 7 years of experience in data engineering or related analytical roles, with a minimum of 4 years working on cloud and big data technologies on AWS. AWS experience is highly preferred, and familiarity with Google BigQuery an Google Analytics 4 is a plus.</li><li><b>
Data Expertise</b>: Strong analytical skills in handling and processing structured and semi-structured datasets, with hands-on experience in designing and implementing scalable data engineering solutions, on AWS.</li><li><b>
Cloud Technologies</b>: Proficiency in building data pipelines and working with data warehousing solutions on AWS (Redshift, S3, Glue, Lambda, etc.). Experience with alternative cloud platforms (e.g., Google Cloud, Azure) is a bonus.</li><li><b>
Programming Skills</b>: Strong programming proficiency in Python, with additional experience in Java/Scala being a plus. Ability to write efficient, reusable, and scalable code to process large datasets.</li><li><b>
Data Warehousing</b>: Proven experience with modern data warehousing tools like AWS Redshift, Snowflake, or equivalent platforms, with a focus on performance optimization and query tuning.</li><li><b>
Version Control &amp; Automation</b>: Hands-on experience with version control systems like GitHub, GitLab, or Bitbucket, and with CI/CD pipelines using tools like GitHub Actions, AWS CodePipeline, Jenkins, etc., to ensure smooth, automated deployments.</li><li><b>
Data Governance &amp; Security</b>: Knowledge of data governance practices, compliance standards, and security protocols in a cloud environment.</li><li><b>
Optional Skills</b>: Experience in business intelligence (BI) tools like Tableau, Power BI, or QuickSight, and exposure to data visualization techniques will be an advantage.</li><li><b>
Collaboration &amp; Problem Solving</b>: Ability to work in a cross-functional team, collaborating closely with data scientists, analysts, and product managers to deliver high-impact data solutions. Strong problem-solving skills and adaptability to changing business requirements.</li></ul><p>
Qualifications</p><p>
Graduate and above</p><p>
Additional Information</p><p>
Excellent communication skills</p></div>

LTIMindtree

<div>
 <p>
  Role: Python Developer
 </p>
 <p>
  Experience: 5 years to 12 years
 </p>
 <p>
  Location: PAN India
 </p>
 <p>
  Notice: Immediate to 30 Days only.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Mandatory skills: Python Data Engineer, AWS and services
 </p>
 <p>
  <br/>
 </p>
 <p>
  Job Description:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong programming skills in Python, including libraries like Pandas, NumPy, and PySpark.
  </li>
  <li>
   Experience with data pipeline tools (e.g., Apache Airflow, Luigi).
  </li>
  <li>
   Proficiency in SQL and working with relational databases.
  </li>
  <li>
   Experience with cloud platforms (AWS preferred) and services like S3, Lambda, Glue, Redshift, or EMR.
  </li>
  <li>
   Familiarity with data modeling and data warehousing concepts.
  </li>
  <li>
   Strong problem-solving and debugging skills.
  </li>
 </ul>
</div>


Python Developer

<div></div><div><div><div><div><ul><div>5 - 7 Years</div>
<div></div><div>3 Openings</div>
 <div>Hyderabad</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>We are seeking a skilled Data Engineer with strong expertise in Python, PySpark, and the AWS Data Engineering stack to design, develop, and optimize large-scale ETL pipelines. The ideal candidate will have a solid foundation in data engineering best practices, automation, and modern cloud-based architectures, along with a passion for leveraging Generative AI tools to boost productivity and code quality.</p>
<p></p>
<p><b>Core Must-Have Skills:</b></p>
<ul>
<li>Strong proficiency in <b>Python</b> and <b>PySpark</b> for developing and optimizing ETL pipelines.</li>
<li>In-depth understanding of <b>data engineering best practices</b>, including data validation, transformation logic, and performance optimization.</li>
<li>Experience working with <b>large-scale data processing</b> and distributed computing environments.</li>
</ul>
<p></p><p><b>Good-to-Have / Preferred Skills:</b></p>
<ul>
<li>Working knowledge of <b>Scala</b> programming, particularly for Spark-based use cases.</li>
<li>Familiarity with <b>AI-assisted development tools</b> such as GitHub Copilot to enhance productivity and code quality.</li>
</ul>
<p></p><p><b>AWS Data Engineering Stack Expertise:</b></p>
<ul>
<li>Hands-on experience with <b>AWS Glue</b>, <b>Lambda Functions</b>, <b>EventBridge</b>, <b>SQS</b>, <b>SNS</b>, <b>DynamoDB</b>, and <b>Streams</b> for building serverless and event-driven data pipelines.</li>
<li>Proficiency in <b>CloudWatch</b> for creating dashboards, setting up s, and monitoring pipeline health.</li>
<li>Basic working knowledge of <b>AWS CDK</b> and <b>CloudFormation</b> for infrastructure automation and deployment.</li>
</ul></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Python ,Pyspark,Data Validation,Transformation Logic</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Engineer (Python, PySpark, AWS)

Toptalcare

<p><b>Company:</b> Hiringo (on behalf of our Global Technology Partner)<br/><b>Employment Type:</b> Contractual (Long-Term)<br/><b>Work Mode:</b> Hybrid<br/><b>Interview Mode:</b> Face-to-Face / Microsoft Teams<br/><b>Locations:</b> Hyderabad / Bangalore</p><p><b>About the Opportunity</b></p><p>Hiringo, a next-generation <b>Staffing &amp; Workforce Solutions</b> organization, is seeking an experienced <b>Data Engineer</b> for one of our leading global technology clients.<br/>This role involves designing, developing, and optimizing <b>scalable data pipelines and AWS-based infrastructure</b> to drive key business decisions.</p><p>If you&rsquo;re passionate about building robust, data-driven systems and enjoy solving complex data challenges &mdash; we want to hear from you!</p><p><b>Key Responsibilities</b></p><ul><li>Design, develop, and maintain <b>ETL pipelines</b> using <b>PySpark and Airflow</b>.</li><li>Architect and manage <b>AWS data infrastructure</b> (S3, Redshift, Glue, Lambda, EMR).</li><li>Write and optimize <b>SQL queries and data models</b> for efficient data access.</li><li>Implement <b>data validation, testing, and monitoring frameworks</b>.</li><li>Troubleshoot and improve <b>performance and reliability</b> of data workflows.</li></ul><p><b>Required Qualifications</b></p><ul><li><b>Total Experience:</b> 10+ years</li><li><b>Relevant Experience:</b> 5+ years in <b>Data Engineering / Data Warehousing</b></li><li>Strong command of <b>Python, SQL, PySpark, Airflow</b></li><li>Hands-on experience with <b>AWS Data Services</b> (Redshift, Glue, Lambda, EMR)</li><li>Proven expertise in <b>ETL architecture and workflow automation</b></li></ul><p><b>Preferred Skills</b></p><ul><li>Experience with <b>Apache Iceberg</b> or other <b>Data Lake frameworks</b></li><li>Exposure to the <b>Semiconductor / High-Tech</b> domain is an advantage</li></ul><p><b>Additional Details</b></p><ul><li><b>Shift:</b> General</li><li><b>CTC:</b> Up to &#8377;19,20,000 per annum <i>(exclusive of deductions and benefits)</i></li></ul><p><b>#DataEngineer #AWSJobs #PySpark #Airflow #Redshift #ETLDeveloper #HiringNow #TechJobsIndia #BangaloreJobs #HyderabadJobs #Hiringo #DataEngineering #BigData #ContractJobs #JobAlert #NowHiring #CareersInTech</b></p><p>Job Type: Contractual / Temporary<br/>Contract length: 12 months</p><p>Pay: Up to &#8377;1,920,000.00 per year</p><p>Benefits:</p><ul><li>Provident Fund</li></ul><p>Work Location: In person</p>

Data Engineer – AWS, PySpark, Airflow, Redshift

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