aws data engineer

AFORV

Job Title: AWS Data Engineer (Python, PySpark, Databricks)We are looking for an experienced AWS Data Engineer with strong expertise in Python, PySpark, and Databricks to design and develop scalable data pipelines on AWS cloud.Key Responsibilities:<ul><li>Design, develop, and maintain ETL pipelines using PySpark and Databricks</li><li>Build data solutions on AWS services (S3, Glue, EMR, Redshift, Lambda)</li><li>Work with structured and unstructured data</li><li>Optimize Spark jobs for performance and scalability</li><li>Implement data lake and data warehouse solutions</li><li>Collaborate with cross-functional teams for data integration</li></ul>Required Skills:<ul><li>Strong experience in Python and PySpark</li><li>Hands-on experience with Databricks</li><li>Good knowledge of AWS cloud services</li><li>Strong SQL skills</li><li>Experience in data modeling and data warehousing concepts.</li></ul>Job Type: Contractual / Temporary Contract length: 25 monthsBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Work Location: In person

AWS Data Engineer

GAC Solutions Inc

We are seeking an experienced AWS Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data platforms on AWS. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to deliver reliable, high-performance data solutions that support analytics, reporting, and advanced data use cases.Job Type: Contractual / Temporary Contract length: 12 monthsPay: ₹70.00 - ₹75.00 per hourWork Location: Remote

Maxdata Solutions- Bangalore

Currently we are hiring as AWS Data Engineer.Job Location: Bangalore.Job Description:Responsibilities:<ul><li>Design and implement scalable data pipelines using AWS services such as S3, Glue, PySpark, and EMR.</li><li>Develop and maintain robust data transformation scripts using Python and SQL.</li><li>Optimize data storage and retrieval using AWS database services like Redshift, RDS, and DynamoDB.</li><li>Build and manage data warehousing layers tailored to specific business use cases.</li><li>Apply strong ETL and data modeling skills to ensure efficient data flow and structure.</li><li>Ensure high data quality, availability, and consistency to support analytics and reporting needs.</li><li>Work closely with data analysts and business stakeholders to understand data requirements and deliver actionable insights.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>Hands-on experience with AWS data services such as S3, Glue Studio, Redshift, Athena, and EMR.</li><li>Strong proficiency in SQL and Python for data processing.</li><li>Experience with batch job scheduling and managing data dependencies.</li></ul>Preferred Skills:<ul><li>Expertise in data warehousing, ETL frameworks, and big data processing.</li><li>Familiarity with the pharmaceutical domain is a plus.</li><li>Experience with data lake architecture and schema evolution.</li></ul>Job Types: Full-time, PermanentPay: ₹1,000,000.00 - ₹1,800,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

Diaconia

<div>Description: 
Key Responsibilities<ul><li>
Build and maintain scalable data pipelines in AWS to support ingestion, transformation, and enrichment of structured and semi-structured data.</li><li>
Design and implement Delta Lake tables optimized for ACID compliance, partition pruning, schema enforcement, and query performance across large datasets.</li><li>
Develop ETL and ELT workflows that integrate multiple source systems into a centralized, query-optimized data warehouse architecture.</li><li>
Leverage AWS tools to implement business rules, dimensional joins, and aggregation logic aligned to warehouse modeling best practices.</li><li>
Collaborate with data architects and engineers to implement cloud-native data solutions on AWS using S3, Glue, RDS, and IAM for secure, scalable storage and access control.</li><li>
Optimize pipeline performance through intelligent partitioning, caching, broadcast joins, and adaptive query tuning.</li><li>
Deploy and version data engineering assets using Git-integrated development workflows and automate deployment with CI/CD tools such as GitLab or Jenkins.</li><li>
Monitor pipeline health, job execution, and cluster utilization using AWS CloudWatch, identifying bottlenecks and optimizing cost-performance tradeoffs.</li><li>
Conduct technical discovery and mapping of legacy source systems, identifying required transformations and designing end-to-end data flows.</li><li>
Implement governance practices including metadata tagging, data quality validation, audit logging, and lineage tracking using platform-native features and custom logic.</li><li>
Support ad hoc data access requests, develop reusable data assets, and maintain shared notebooks that meet operational reporting and analytics needs across teams.</li></ul>
 Disclaimer &quot;The responsibilities and duties outlined in this job description are intended to describe the general nature and level of work performed by employees within this role. However, they are not exhaustive and may be subject to change or modification at any time to meet the evolving needs of the organization and client.
Requirements: 
Required Qualifications<ul><li>
This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines</li><li>
The ideal candidate brings both engineering and strategic insight into enterprise data modernization</li><li>
8+ years of experience in data engineering and Agile analytics</li><li>
5 years of experience building scalable ETL and ELT workflows for reporting and analytics</li><li>
3+ years of experience building enterprise data engineering solutions in the cloud, with preferred experience with cloud native technologies from AWS</li><li>
Hands-on experience in the following:
<ul><li>Glue / Spark SQL&ndash;based data transformations</li>
<li>S3 partitioning strategy</li>
<li>Step Functions&ndash;based orchestration</li>
<li>Infrastructure as Code (Terraform and/or CloudFormation)</li>
<li>Deployment automation for data pipelines</li>
<li>AWS services integration</li>
</ul></li><li>Experience with data quality, validation frameworks, and storage optimization strategies</li><li>
BA or BS degree</li><li>
Excellent communication and organizational skills with the ability to manage multiple priorities</li><li>
U.S. Citizenship is required by the Federal Client</li><li>
Must have or able to obtain DoD Public Trust Clearance</li></ul> 
Preferred Qualifications<ul><li>
Experience building data pipelines using Spark with Java or Scala</li><li>
Strong Java development experience in enterprise environments</li></ul></div>

Senior AWS Data Engineer

ExaThought Technology Consulting Pvt Ltd

Key Responsibilities<ul><li>Design, develop, and maintain robust, scalable ETL/ELT pipelines using Python </li><li>Process and transform large datasets (millions/billions of records) efficiently</li><li>Build batch and real-time data ingestion frameworks </li><li>Work with cloud-native data services on AWS</li><li>Develop data models, data lakes, and warehouse solutions </li><li>Optimize data performance, reliability, and cost</li><li>Ensure data quality, governance, and security standards </li><li>Collaborate with Data Scientists, Analysts, and Product teams</li><li>Troubleshoot and improve existing data workflows </li><li>Document architecture, pipelines, and best practices</li></ul>*<ul><li>Required Skills</li><li>4&ndash;6 years of experience in Data Engineering </li><li>Strong Python programming (Pandas, PySpark, NumPy, etc.)</li><li>Hands-on experience handling large/complex datasets </li><li>Experience building ETL/ELT pipelines</li><li>Strong SQL skills </li><li>Experience with:</li><li>o Apache Spark / PySpark</li><li>o Airflow / Prefect or similar orchestrators</li><li>o Data warehousing concepts</li><li>Understanding of data modeling and performance tuning</li></ul>Job Type: Full-timePay: ₹500,000.00 - ₹1,500,000.00 per yearWork Location: Hybrid remote in Indiranagar, Bengaluru, Karnataka

Genpact

<div><div><div>Ready to build the future with AI? 
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges. 
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment. 
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
Inviting applications for the role of Lead Consultant- Monitoring and Security AWS Data Platform Engineer 
In this role, you will be working as a Monitoring and Security AWS Data Platform Engineer, who must Implement, Perform, Provide Technical Support, Recommend Support, and Create Documentation. 
Responsibilities 
<ul><li>Design, develop, and maintain a highly scalable data platform on AWS, ensuring robust performance and reliability.</li><li>Write clean, efficient, and maintainable code to support data platform functionalities and automation needs.</li><li>Serve as a Subject Matter Expert (SME) for AWS tools, services, and best practices, guiding the team in optimal cloud usage.</li><li>Collaborate effectively with team members and leadership to deliver high-quality solutions and meet project objectives.</li><li>Maintain comprehensive technical documentation and ensure knowledge bases are regularly updated to support internal and cross‑team collaboration.</li><li>Provide mentorship and support to junior team members through active listening, guidance, and knowledge sharing.</li><li>Monitor and troubleshoot data pipelines, identifying and resolving issues related to data processing, data consistency, and performance bottlenecks.</li><li>Implement data ingestion workflows from diverse data sources, databases, and APIs into Amazon S3.</li><li>Develop applications, scripts, or automation processes for handling and processing data across AWS services.</li><li>Provision and manage cloud infrastructure using Terraform.</li><li>Work with and coordinate AWS services including Amazon ECS, Amazon RDS, IAM, CloudWatch, VPC, Serverless technologies, AWS Glue, DynamoDB, EMR, and Amazon S3.</li></ul></div><div>
Qualifications we seek in you! 
Minimum Qualifications</div><ul><li>Bachelor's degree in computer science or related field.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities</li><li>Ability to work independently and as part of a team.</li><li>Strong communication and documentation skills</li></ul>
Preferred Qualifications/ Skills<ul><li>Strong proficiency in Python for building data processing scripts and automation.</li><li>Hands‑on experience with ETL frameworks for data ingestion, transformation, and pipeline development.</li><li>Working knowledge of Amazon Athena for querying data in S3.</li><li>Experience with Terraform for infrastructure provisioning and IaC (Infrastructure as Code).</li><li>Proficiency in Amazon S3 for storage management and data lake operations.</li><li>Experience building serverless data workflows using AWS services (e.g., Lambda).</li><li>Strong knowledge of AWS Glue for ETL development and orchestration.</li><li>Experience with Amazon RDS, Amazon ECS, AWS Step Functions, and DynamoDB.</li><li>Familiarity with logging, monitoring, and observability tools such as Splunk, Cribl, and New Relic.</li><li>Exposure modern data tools like Upsolver or Metabase.</li></ul><div> 
Why join Genpact? 
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let&rsquo;s build tomorrow together. 
 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. 
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div> 
JobLead Consultant
Primary LocationIndia-Hyderabad
ScheduleFull-time
Education LevelBachelor's / Graduation / Equivalent
Job PostingFeb 17, 2026, 8:49:25 AM
Unposting DateOngoing
Master Skills ListConsulting
Job CategoryFull Time</div>

Lead Consultant- Monitoring and Security AWS Data Platform Engineer

Match Made Tech

<div><div>Job Title: Data Engineer
LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote.
COMPENSATION: $50-95 an hour. This is a 2-year contract that will convert to full-time.
ABOUT US: We are on a mission to develop innovative AI solutions that will revolutionize our workforce. As we embark on an exciting new greenfield AI project, our data team is forward-thinking and data-driven dedicated to transforming data into actionable insights. We are seeking a skilled Data Engineer to join our team, responsible for leveraging Python, Java, PostgreSQL, Snowflake and AWS to design, develop, and maintain data pipelines and systems that support our analytics and decision-making processes.
JOB DESCRIPTION:
Position Overview: As a Data Engineer, you will play a pivotal role in the development and management of our data infrastructure. You will work closely with cross-functional teams to ensure data availability, reliability, and quality, enabling data-driven decision-making across the organization.
RESPONSIBILITIES:
Data Pipeline Development:
<ul><li>Design, implement, and maintain data pipelines using Python, PostgreSQL, and AWS technologies.
</li><li>Develop efficient and scalable ETL processes to extract, transform, and load data from various sources into our Snowflake data warehouses.
</li></ul>Database Management:
<ul><li>Design and maintain PostgreSQL databases, including schema design, indexing, and performance optimization.
</li><li>Monitor database performance, troubleshoot issues, and implement improvements as needed.
</li><li>AWS Integration:
</li><li>Utilize AWS services, such as AWS Glue, S3, Redshift, and EMR, for data storage, processing, and analytics.
</li><li>Collaborate with AWS solutions architects to optimize data-related AWS infrastructure.
</li></ul>Data Quality and Governance:
<ul><li>Implement data quality checks and validation processes to ensure data accuracy and consistency.
</li><li>Enforce data governance policies and security measures to protect sensitive data.
</li></ul>Documentation and Collaboration:
<ul><li>Maintain comprehensive documentation of data pipelines, database schemas, and ETL processes.
</li><li>Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
</li></ul>Performance Optimization:
<ul><li>Continuously monitor and optimize data pipelines and database performance for scalability and efficiency.
</li></ul>QUALIFICATIONS:
<ul><li>Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
</li><li>Proven experience (3+ years) as a data engineer with expertise in Python, Java, PostgreSQL, and AWS.
</li><li>Strong SQL skills and proficiency in data modeling and database design.
</li><li>Hands-on experience with AWS services, particularly Glue, S3, Redshift, and EMR.
</li><li>Knowledge of ETL processes and data integration techniques.
</li><li>Excellent problem-solving skills and attention to detail.
</li><li>Effective communication and collaboration skills to work within a team.
</li><li>A commitment to staying current with industry trends and best practices in data engineering.
</li></ul>WHAT MAKES THIS EXCITING:
<ul><li>Be part of a dynamic team in a data-driven organization.
</li><li>Technical ownership on greenfield projects
</li><li>Contribute to projects that have a meaningful impact on our business and industry.
</li><li>Competitive compensation and opportunities for professional growth.
</li><li>Work in a collaborative and innovative environment.
</li></ul>If you are a skilled Data Engineer with expertise in Python, Java, PostgreSQL, and AWS and are passionate about turning data into insights, we encourage you to apply. Join us in our mission to harness the power of data!</div></div>

Data Engineer (Hybrid)

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