572 Glue Jobs - Page 18

HIH - Software Engineering Associate Advisor Position Overview The successful candidate will be a member of our US medical Integration Solutions ETL team. They will play a major role in the design and development if the ETL application in support of various portfolio projects. Responsibilities Analyze business requirements and translate into ETL architecture and data rules Serve as advisor and subject matter expert on project teams Manage both employees and consultants on multiple ETL projects. Oversee and review all design and coding from developers to ensure they follow company standards and best practices, as well as architectural direction Assist in data analysis and metadata management Test planning and execution Effectively operate within a team of technical and business professionals Asses new talent and mentor direct reports on best practices Review all designs and code from developers Qualifications Desired Skills & Experience: 8 - 11 Years of Experience in Java and Python, PySpark to support new development as well as support existing 7+ Years of Experience with Cloud technologies, specifically AWS Experience in AWS services such as Lambda, Glue, s3, MWAA, API Gateway and Route53, DynamoDB, RDS MySQL, SQS, CloudWatch, Secrete Manager, KMS, IAM, EC2 and Auto Scaling Group, VPC and Security Groups Experience with Boto3, Pandas and Terraforms for building Infrastructure as a Code Experience with IBM Datastage ETL tool Experience with CD /CI methodologies and processing and the development of these processes DevOps experience Knowledge in writing SQL Data mappingsource to target target to multiple formats Experience in the development of data extraction and load processes in a parallel framework Understanding of normalized and de-normalized data repositories Ability to define ETL standards & processes SQL Standards / Processes / Tools: Mapping of data sources ETL Development, monitoring, reporting and metrics Focus on data quality Experience with DB2/ZOS, Oracle, SQL Server, Teradata and other database environments Unix experience Excellent problem solving and organizational skills Strong teamwork and interpersonal skills and ability to communicate with all management levels Leads others toward technical accomplishments and collaborative project team efforts Very strong communication skills, both verbal and written, including technical writing Strong analytical and conceptual skills Location & Hours of Work (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work) About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

Location Pune, Hyderabad, Gurgaon, Bangalore [Hybrid] : Python, Pyspark, SQL, AWS Services - AWS Glue, S3, IAM, Athena, AWS CloudFormation, AWS Code Pipeline, AWS Lambda, Transfer Family, AWS Lake Formation, and CloudWatch, CI/CD automation of AWS CloudFormation stacks Not Ready to Apply Join our talent pool and we'll reach out when a job fits your skills.

Job Information Job Opening ID ZR_1634_JOB Date Opened 12/12/2022 Industry Technology Job Type Work Experience 5-8 years Job Title AWS-BIGDATA-DEVELOPER City Bangalore Province Karnataka Country India Postal Code 560001 Number of Positions 4 Roles and Responsibilities: Experience in GLUE AWS Experience with one or more of the followingSpark, Scala, Python, and/or R . Experience in API development with NodeJS Experience with AWS (S3, EC2) or other cloud provider Experience in Data Virtualization tools like Dremio and Athena is a plus Should be technically proficient in Big Data concepts Should be technically proficient in Hadoop and noSQL (MongoDB) Good communication and documentation skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1594_JOB Date Opened 29/11/2022 Industry Technology Job Type Work Experience 6-10 years Job Title AWS GLUE Engineer City Pune Province Maharashtra Country India Postal Code 411001 Number of Positions 4 Roles & Responsibilities: Provides expert level development system analysis design and implementation of applications using AWS services specifically using Python for Lambda Translates technical specifications and/or design models into code for new or enhancement projects (for internal or external clients). Develops code that reuses objects is well-structured includes sufficient comments and is easy to maintain Provides follow up Production support when needed. Submits change control requests and documents. Participates in design code and test inspections throughout the life cycle to identify issues and ensure methodology compliance. Participates in systems analysis activities including system requirements analysis and definition e.g. prototyping. Participates in other meetings such as those for use case creation and analysis. Performs unit testing and writes appropriate unit test plans to ensure requirements are satisfied. Assists in integration systems acceptance and other related testing as needed. Ensures developed code is optimized in order to meet client performance specifications associated with page rendering time by completing page performance tests. Technical Skills Required Experience in building large scale batch and data pipelines with data processing frameworks in AWS cloud platform using PySpark (on EMR) & Glue ETL Deep experience in developing data processing data manipulation tasks using PySpark such as reading data from external sources merge data perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code using CI/CD tools Bit bucket and Bamboo Strong AWS cloud computing experience. Extensive experience in Lambda S3 EMR Redshift Should have worked on Data Warehouse/Database technologies for at least 8 years. 7. Any AWS certification will be an added advantage. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1668_JOB Date Opened 19/12/2022 Industry Technology Job Type Work Experience 5-8 years Job Title Sr. AWS Developer City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 4 AWS Lambda Glue Kafka/Kinesis RDBMS Oracle, MySQL, RedShift, PostgreSQL, Snowflake Gateway Cloudformation / Terraform Step Functions Cloudwatch Python Pyspark Job role & responsibilities: Looking for a Software Engineer/Senior Software engineer with hands on experience in ETL projects and extensive knowledge in building data processing systems with Python, pyspark and Cloud technologies(AWS). Experience in development in AWS Cloud (S3, Redshift, Aurora, Glue, Lambda, Hive, Kinesis, Spark, Hadoop/EMR) Required Skills: Amazon Kinesis, Amazon Aurora, Data Warehouse, SQL, AWS Lambda, Spark, AWS QuickSight Advanced Python Skills Data Engineering ETL and ELT Skills Experience of Cloud Platforms (AWS or GCP or Azure) Mandatory skills Datawarehouse, ETL, SQL, Python, AWS Lambda, Glue, AWS Redshift. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

About the Role: Grade Level (for internal use): 10 S&P Dow Jones Indices The Role S&P Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for a Java Application Developer to join our technology team. The Location Mumbai/Hyderabad/Chennai The Team You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, design, development and testing. The Impact You will be working on one of the core technology platforms responsible for the end of day calculation as well as dissemination of index values. Whats in it for you You will have the opportunity to work on the enhancements to the existing index calculation system as well as implement new methodologies as required. Responsibilities Design and development of Java applications for SPDJI web sites and its feeder systems. Participate in multiple software development processes including Coding, Testing, De-bugging & Documentation. Develop software applications based on clear business specifications. Work on new initiatives and support existing Index applications. Perform Application & System Performance tuning and troubleshoot performance issues. Develop web based applications and build rich front-end user interfaces. Build applications with object oriented concepts and apply design patterns. Integrate in-house applications with various vendor software platforms. Setup development environment / sandbox for application development. Check-in application code changes into the source repository. Perform unit testing of application code and fix errors. Interface with databases to extract information and build reports. Effectively interact with customers, business users and IT staff. What were looking for Basic Qualification Bachelors degree in Computer Science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience. (6 to 9) years of IT experience in application development and support. Strong Experience with Java, J2EE, JMS &.EJBs Advanced SQL & basic PL/SQL programming Basic networking knowledge / Unix scripting Exposure to UI technologies like react JS Basic understanding of AWS cloud (EC2, EMR, Lambda, S3, Glue, etc.) Excellent communication and interpersonal skills are essential, with strong verbal and writing proficiencies. Preferred Qualification Experience working with large datasets in Equity, Commodities, Forex, Futures and Options asset classes. Experience with Index/Benchmarks or Asset Management or Trading platforms. Basic Knowledge of User Interface design & development using JQuery, HTML5 & CSS.

About the Role: Grade Level (for internal use): 11 The Role: Lead Software Engineering The Team: Our team is responsible for the architecture, design, development, and maintenance of technology solutions to support the Sustainability business unit within Market Intelligence and other divisions. Our program is built on a foundation of inclusivity, enablement, and adaptability and respect which fosters an environment of open-communication and trust. We take pride in each team members accountability and responsibility to move us forward in our strategic initiatives. Our work is collaborative, we work transparently with others within our business unit and others across the entire organization. The Impact: As a Lead, Cloud Engineering at S&P Global, you will be instrumental in streamlining the software development and deployment of our applications to meet the needs of our business. Your work ensures seamless integration and continuous delivery, enhancing the platform's operational capabilities to support our business units. You will collaborate with software engineers and data architects to automate processes, improve system reliability, and implement monitoring solutions. Your contributions will be vital in maintaining high availability security and performance standards, ultimately leading to the delivery of impactful, data-driven solutions. Whats in it for you: Career Development: Build a meaningful career with a leading global company at the forefront of technology. Dynamic Work Environment: Work in an environment that is dynamic and forward-thinking, directly contributing to innovative solutions. Skill Enhancement: Enhance your software development skills on an enterprise-level platform. Versatile Experience: Gain full-stack experience and exposure to cloud technologies. Leadership Opportunities: Mentor peers and influence the products future as part of a skilled team. Key Responsibilities: Design and develop scalable cloud applications using various cloud services. Collaborate with cross-functional teams to define, design, and deliver new features. Implement cloud security best practices and ensure compliance with industry standards. Monitor and optimize application performance and reliability in the cloud environment. Troubleshoot and resolve issues related to our applications and services. Stay updated with the latest cloud technologies and trends. Manage our cloud instances and their lifecycle, to guarantee a high degree of reliability, security, scalability, and confidence at any given time. Design and implement CI/CD pipelines to automate software delivery and infrastructure changes. Collaborate with development and operations teams to improve collaboration and productivity. Manage and optimize cloud infrastructure and services. Implement configuration management tools and practices. Ensure security best practices are followed in the deployment process. What Were Looking For: Bachelor's degree in Computer Science or a related field. Minimum of 10+ years of experience in a cloud engineering or related role. Proven experience in cloud development and deployment. Proven experience in agile and project management. Expertise with cloud services (AWS, Azure, Google Cloud). Experience in EMR, EKS, Glue, Terraform, Cloud security, Proficiency in programming languages such as Python, Java, Scala, Spark Strong Implementation experience in AWS services (e.g. EC2, ECS, ELB, RDS, EFS, EBS, VPC, IAM, CloudFront, CloudWatch, Lambda, S3. Proficiency in scripting languages such as Bash, Python, or PowerShell. Experience with CI/CD tools like Azure CI/CD. Experience in SQL and MS SQL Server. Knowledge of containerization technologies like Docker, Kubernetes. Nice to have - Knowledge of GitHub Actions, Redshift and machine learning frameworks Excellent problem-solving and communication skills. Ability to quickly, efficiently, and effectively define and prototype solutions with continual iteration within aggressive product deadlines. Demonstrate strong communication and documentation skills for both technical and non-technical audiences.

Mandatory Skills : Data engineer , AWS Athena, AWS Glue,Redshift,Datalake,Lakehouse,Python,SQL Server Must Have Experience: 6+ years of hands-on data engineering experience Expertise with AWS services: S3, Redshift, EMR, Glue, Kinesis, DynamoDB Building batch and real-time data pipelines Python, SQL coding for data processing and analysis Data modeling experience using Cloud based data platforms like Redshift, Snowflake, Databricks Design and Develop ETL frameworks Nice-to-Have Experience : ETL development using tools like Informatica, Talend, Fivetran Creating reusable data sources and dashboards for self-service analytics Experience using Databricks for Spark workloads or Snowflake Working knowledge of Big Data Processing CI/CD setup Infrastructure-as-code implementation Any one of the AWS Professional Certification

Skills: Primary Skills: Enhancements, new development, defect resolution, and production support of ETL development using AWS native services Integration of data sets using AWS services such as Glue and Lambda functions. Utilization of AWS SNS to send emails and alerts Authoring ETL processes using Python and PySpark ETL process monitoring using CloudWatch events Connecting with different data sources like S3 and validating data using Athena. Experience in CI/CD using GitHub Actions Proficiency in Agile methodology Extensive working experience with Advanced SQL and a complex understanding of SQL. Competencies / Experience: Deep technical skills in AWS Glue (Crawler, Data Catalog)5 years. Hands-on experience with Python and PySpark3 years. PL/SQL experience3 years CloudFormation and Terraform2 years CI/CD GitHub actions1 year Experience with BI systems (PowerBI, Tableau)1 year Good understanding of AWS services like S3, SNS, Secret Manager, Athena, and Lambda2 years

In this vital role you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and driving data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Identify and resolve complex data-related challenges Adhere to standard methodologies for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate degree OR Masters degree and 4 to 6 years of Computer Science, IT or related field OR Bachelors degree and 6 to 8 years of Computer Science, IT or related field OR Diploma and 10 to 12 years of Computer Science, IT or related field Must-Have Skills Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing Experience with data warehousing platforms such as Amazon Redshift, or Snowflake. Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases. Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets. Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA) Skills: Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena) Strong understanding of data modeling, data warehousing, and data integration concepts Understanding of machine learning pipelines and frameworks for ML/AI models Professional Certifications (please mention if the certification is preferred or required for the role): AWS Certified Data Engineer (preferred) Databricks Certified (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

Hiring Alert Data Engineer | Xebia | Hyderabad & Noida Were on the lookout for skilled Data Engineers with 4+ years of experience to join our dynamic team at Xebia! If you thrive on solving complex data problems and have solid hands-on experience in Python, PySpark, and AWS, we’d love to hear from you. Location: Hyderabad / Noida Work Mode: 3 Days Work From Office (WFO) per week Timings: 2:30 PM – 10:30 PM IST Notice Period: Immediate to 15 days max Required Skills: Programming: Strong in Python, Spark, and PySpark SQL: Proficient in writing and optimizing complex queries AWS Services: Experience with S3, SNS, SQS, EMR, Lambda, Athena, Glue, RDS (PostgreSQL), CloudWatch, EventBridge, CloudFormation CI/CD: Exposure to Jenkins pipelines Analytical Thinking: Strong problem-solving capabilities Communication: Ability to explain technical topics to non-technical audiences Preferred Skills: Jenkins for CI/CD Familiarity with big data tools and frameworks Interested? Apply Now! Send your updated CV along with the following details to: vijay.s@xebia.com Required Details: Full Name: Total Experience: Current CTC: Expected CTC: Current Location: Preferred Location: Notice Period / Last Working Day (if serving notice): Primary Skill Set (Choose from above or mention any other relevant expertise): LinkedIn Profile URL: Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia. Let’s build the future of data together! #DataEngineer #Xebia #AWS #Python #PySpark #BigData #HiringNow #HyderabadJobs #NoidaJobs #ImmediateJoiners #DataJobs

We are hiring for AWS Data Engineer Skills - AWS, KAFKA, ETL, Glue, Lamda, Tech Stack Required - Phyton, SQL

Roles & Responsibilities Lead data migration efforts from legacy systems (e.g., on-premises databases) to cloud-based platforms AWS Collaborate with cross-functional teams to gather requirements and define migration strategies. Develop and implement migration processes to move legacy applications and data to cloud platforms like AWS. Write scripts and automation to support data migration, system configuration, and cloud infrastructure provisioning. Optimize existing data structures and processes for performance and scalability in the new environment. Ensure the migration adheres to performance, security, and compliance standards. Identify potential issues, troubleshoot, and implement fixes during the migration process. Maintain documentation of migration processes and post-migration maintenance plans. Provide technical support post-migration to ensure smooth operation of the migrated systems. Primary Skills (Required): Proven experience in leading data migration projects and migrating applications, services, or data to cloud platforms (preferably AWS). Knowledge of migration tools such as AWS Database Migration Service (DMS), AWS Server Migration Service (SMS), AWS Migration Hub Expertise in data mapping, validation, transformation, and ETL processes Proficiency in Python, Java or similar programming languages. Experience with scripting languages such as Shell, PowerShell, or Bash Cloud Technologies (AWS focus): Strong knowledge of AWS services relevant to data migration (e.g., S3, Redshift, Lambda, RDS, DMS, Glue). Experience in working with CI/CD pipelines (Jenkins, GitLab CI/CD) and infrastructure as code (IaC) using Terraform or AWS CloudFormation Experience in database management and migrating relational (e.g., MySQL, PostgreSQL, Oracle) and non-relational (e.g., MongoDB) databases.

Lead AWS Glue Data Engineer Job Location : Hyderabad / Bangalore / Chennai / Noida/ Gurgaon / Pune / Indore / Mumbai/ Kolkata We are seeking a skilled Lead AWS Data Engineer with 8+ years of strong programming and SQL skills to join our team. The ideal candidate will have hands-on experience with AWS Data Analytics services and a basic understanding of general AWS services. Additionally, prior experience with Oracle and Postgres databases and secondary skills in Python and Azure DevOps will be an advantage. Key Responsibilities: Design, develop, and optimize data pipelines using AWS Data Analytics services such as RDS, DMS, Glue, Lambda, Redshift, and Athena . Implement data migration and transformation processes using AWS DMS and Glue . Work with SQL (Oracle & Postgres) to query, manipulate, and analyse large datasets. Develop and maintain ETL/ELT workflows for data ingestion and transformation. Utilize AWS services like S3, IAM, CloudWatch, and VPC to ensure secure and efficient data operations. Write clean and efficient Python scripts for automation and data processing. Collaborate with DevOps teams using Azure DevOps for CI/CD pipelines and infrastructure management. Monitor and troubleshoot data workflows to ensure high availability and performance. Preferred Qualifications: AWS certifications in Data Analytics, Solutions Architect, or DevOps. Experience with data warehousing concepts and data lake implementations. Hands-on experience with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.

locationsGurugram - DLF BuildingMumbai - Hiranandaniposted onPosted Yesterday time left to applyEnd DateJune 10, 2025 (10 days left to apply) job requisition idR_308095 Company: Mercer Description: We are seeking a talented individual to join our Data Engineering team at Mercer. This role will be based in Gurgaon/ Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Principal Engineer - Data Enginering We will count on you to: Design, develop, and maintain scalable and robust data pipelines on Databricks. Collaborate with data scientists and analysts to understand data requirements and deliver solutions. Optimize and troubleshoot existing data pipelines for performance and reliability. Ensure data quality and integrity across various data sources. Implement data security and compliance best practices. Monitor data pipeline performance and conduct necessary maintenance and updates. Document data pipeline processes and technical specifications. Use analytical skills to solve complex problems associated with database development and management. Working with other teams, such as data scientists, business analysts, and Qlik Developers, to identify organizational needs and design effective solutions. Providing technical leadership and guidance to the team. This may include code reviews, mentoring, and helping team members troubleshoot technical issues. Aligning the data engineering strategy with the wider organizational strategy. This might involve deciding which projects to prioritize, making technology choices, and planning for the team's growth and development. Ensuring that all data engineering activities are compliant with relevant laws and regulations, and that data is stored and processed securely. Keeping up-to-date with new technologies and methodologies in the field of data engineering, and fostering a culture of innovation and continuous improvement within the team. Communicate effectively with both technical and non-technical stakeholders, explaining data infrastructure, strategies, and systems in an understandable way. What you need to have: Bachelors degree (BE/B.TECH) in Computer Science/IT/ECE etc. MIS or related qualification. A masters degree is always helpful 3-5 years of experience in data engineering Proficiency with Databricks or AWS (Glue, S3), Phython and Spark Strong SQL skills and experience with relational databases Knowledge of data warehousing concepts and ETL processes Excellent problem-solving and analytical skills Effective Communication Skills What makes you stand out Exposure to any BI tool like Qlik(Preference tool), Power BI, Tableau etc. Hands on experience on SQL OR PL-SQL Experience with big data technologies (e.g., Hadoop, Kafka) Agile, JIRA and SDLC process knowledge Teamwork and collaboration skills Strong Quantitative and Analytical skills Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Key Responsibilities Administer and maintain AWS environments supporting data pipelines, including S3, EMR, Athena, Glue, Lambda, CloudFormation, and Redshift. Cost Analysis use AWS Cost Explorer to analyze services and usages, create dashboards to alert outliers on usage and cost Performance and Audit use AWS Cloud Trail and Cloud Watch to monitory system performance and usage Monitor, troubleshoot, and optimize infrastructure performance and availability. Provision and manage cloud resources using Infrastructure as Code (IaC) tools (e.g., AWS CloudFormation, Terraform). Collaborate with data engineers working in PySpark, Hive, Kafka, and Python to ensure infrastructure alignment with processing needs. Support code integration with GIT repositories Implement and maintain security policies, IAM roles, and access controls. Participate in incident response and support resolution of operational issues, including on-call responsibilities. Manage backup, recovery, and disaster recovery processes for AWS-hosted data and services. Interface directly with client teams to gather requirements, provide updates, and resolve issues professionally. Create and maintain technical documentation and operational runbooks Required Qualifications 3+ years of hands-on administration experience managing AWS infrastructure, particularly in support of data-centric workloads. Strong knowledge of AWS services including but not limited to S3, EMR, Glue, Lambda, Redshift, and Athena. Experience with infrastructure automation and configuration management tools (e.g., CloudFormation, Terraform, AWS CLI). Proficiency in Linux administration and shell scripting, including Installing and managing software on Linux servers Familiarity with Kafka, Hive, and distributed processing frameworks such as Apache Spark. Ability to manage and troubleshoot IAM configurations, networking, and cloud security best practices. Demonstrated experience in monitoring tools (e.g., CloudWatch, Prometheus, Grafana) and alerting systems. Excellent verbal and written communication skills. Comfortable working with cross-functional teams and engaging directly with clients. Preferred Qualifications AWS Certification (e.g., Solutions Architect Associate, SysOps Administrator) Experience supporting data science or analytics teams Familiarity with DevOps practices and CI/CD pipelines Familiarity with Apache Icebergbased data pipelines

Primary skill : AWS, Quicksight Secondary skill : AWS Glue, Lambda, Athena, Redshift, Aurora Experience : 5-9 years Location : Pune/Mumbai/Chennai/Noida/Bangalore/Coimbatore Notice period : Immediate joiners Design, develop, and maintain large-scale data pipelines using AWS services such as Athena, Aurora, Glue, Lambda, and Quicksight. Develop complex SQL queries to extract insights from massive datasets stored in Amazon Redshift.

3 +yrs of exp as Data Engineer Exp in AWS Cloud Services, EC2, S3, IAM Exp on AWS Glue, DMS, RDBMS, MPP Databases like Snowflake, Redshift Knowledge on Data Modelling, ETL Process This role will be 5 days WFO. Plz apply only if you are open to work from office Only immediate joiners required

AWS ETL developer with 5–8 yrs experience in EC2, Lambda, Glue, PySpark, Terraform, Kafka, Kinesis, Python, SQL/NoSQL, data modeling, performance tuning, and secure AWS services. Mail:kowsalya.k@srsinfoway.com

Senior Software Engineer HUB 2 Building of SEZ Towers, Karle Town Center, Nagavara, Bengaluru, Karnataka, India, 560045 Hybrid - Full-time Company Description When you are one of us, you get to run with the best. For decades, weve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. https://www.epsilon.com/apac/youniverse Job Description About BU The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story. Why we are Looking for You? At Epsilon, we run on our people’s ideas. It’s how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for talented individuals who always raise the bar by constantly challenging themselves and are experts in building customized solutions in the digital marketing space. What you will enjoy in this Role? So, are you someone who wants to work with cutting-edge technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms? Then you could be exactly who we are looking for. Apply today and be part of a creative, innovative, and talented team that’s not afraid to push boundaries or take risks. What will you do? We seek Software Engineers with experience building and scaling services in on-premises and cloud environments. As a Senior & Lead Software Engineer in the Epsilon Attribution/Forecasting Product Development team, you will design, implement, and optimize data processing solutions using Scala, Spark, and Hadoop. Collaborate with cross-functional teams to deploy big data solutions on our on-premises and cloud infrastructure along with building, scheduling and maintaining workflows. Perform data integration and transformation, troubleshoot issues, Document processes, communicate technical concepts clearly, and continuously enhance our attribution engine/forecasting engine. Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones. Good understanding of Agile Methodologies – SCRUM. Qualifications Strong experience (3 - 8 years) in Python or Scala programming language and extensive experience with Apache Spark for Big Data processing for design, developing and maintaining scalable on-prem and cloud environments, especially on AWS and as needed with GCP cloud. Proficiency in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency in Big Data environments. In-depth understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce. Expertise in designing and implementing scalable, fault-tolerant data pipelines with end-to-end monitoring and alerting. Using Python to develop infrastructure modules. Hence, hands-on experience with Python. Solid grasp of database systems and SQLs for writing efficient SQL’s (RDBMS/Warehouse) to handle TBS of data. Familiarity with design patterns and best practices for efficient data modelling, partitioning strategies, and sharding for distributed systems and experience in building, scheduling and maintaining DAG workflows. End-to-end ownership with definition, development, and documentation of software’s objectives, business requirements, deliverables, and specifications in collaboration with stakeholders. Experience in working on GIT (or equivalent source control) and solid understanding of Unit and integration test frameworks. Must have the ability to collaborate with stakeholders/teams to understand requirements and develop a working solution and the ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment. Must be able to mentor junior staff. Advantageous to have experience on below: Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues. Proficiency in using the ELK (Elasticsearch, Logstash, Kibana) stack for real-time search, log analysis, and visualization. Strong background in analytics, including the ability to derive actionable insights from large datasets and support data-driven decision-making. Experience with data visualization tools like Tableau, Power BI, or Grafana. Familiarity with Docker for containerization and Kubernetes for orchestration.

About Business Unit: The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative thinkers develops and builds products that position Epsilon as a differentiator, fostering an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by leveraging industry best practices and advanced capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilons success story. The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator. They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilons success story Candidate will be a member of the Product Development Team responsible for developing, managing, and implementing internet applications for the product engineering group predominantly using Angular and .NET. Why we are looking for you: You have a hands-on experience in AWS or Azure. You have a hands-on experience in .NET Development. Good to have knowledge on Terraform to develop Infrastructure as code. Good to have knowledge in Angular and Node JS. You enjoy new challenges and are solution oriented. What you will enjoy in this role: As part of the Epsilon Product Engineering team, the pace of the work matches the fast-evolving demands of Fortune 500 clients across the globe As part of an innovative team thats not afraid to take risks, your ideas will come to life in digital marketing products that support more than 50% automotive dealers in the US The open and transparent environment that values innovation and efficiency. Opportunity to explore various AWS & Azure services at depth and enrich your experience on these fast-growing Cloud Services as well. Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice. What you will do: Design and Develop applications and components primarily using .NET Core and Angular. Evaluate services of AWS & Azure and implement and manage infrastructure automation using Terraform. Collaborate with cross-functional teams to deliver high-quality software solutions. Improve and optimize deployment challenges and help in delivering reliable solution. Interact with technical leads and architects to discover solutions that help solve challenges faced by Product Engineering teams. Contribute to building an environment where continuous improvement of the development and delivery process is in focus and our goal is to deliver outstanding software. Qualifications: BE / B.Tech / MCA – No correspondence course 5 -8 years of experience Must have strong experience of working with .Net Core and Rest APIs . Good to have a working experience on Angular, NodeJS and Terraform. At least 2+ years of experience of working on AWS or Azure and certified in AWS or Azure.

What you will do Let’s do this. Let’s change the world. In this vital role you will responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and implementing data governance initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Be a key team member that assists in design and development of the data pipeline Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions Adhere to standard methodologies for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical implementation What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing Experience with data warehousing platforms such as Amazon Redshift, or Snowflake. Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases. Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets. Experienced with software engineering best-practices, including but not limited to version control (GitLab, Subversion, etc.), CI/CD (Jenkins, GITLab etc.), automated unit testing, and Dev Ops Good-to-Have Skills: Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena) Strong understanding of data modeling, data warehousing, and data integration concepts Understanding of machine learning pipelines and frameworks for ML/AI models Professional Certifications: AWS Certified Data Engineer (preferred) Databricks Certified (preferred) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

Data ELT Engineer Chennai - Guindy, India Information Technology 17075 Overview We are looking for a highly skilled DataELT Engineer to architect and implement data solutions that support our enterprise analytics and real-time decision-making capabilities. This role combines data modeling expertise with hands-on experience building and managing ELT pipelines across diverse data sources. You will work with Snowflake , AWS Glue , and Apache Kafka to ingest, transform, and stream both batch and real-time data, ensuring high data quality and performance across systems. If you have a passion for data architecture and scalable engineering, we want to hear from you. Responsibilities Design, build, and maintain scalable ELT pipelines into Snowflake from diverse sources including relational databases (SQL Server, MySQL, Oracle) and SaaS platforms. Utilize AWS Glue for data extraction and transformation, and Kafka for real-time streaming ingestion. Model data using dimensional and normalized techniques to support analytics and business intelligence workloads. Handle large-scale batch processing jobs and implement real-time streaming solutions. Ensure data quality, consistency, and governance across pipelines. Collaborate with data analysts, data scientists, and business stakeholders to align models with organizational needs. Monitor, troubleshoot, and optimize pipeline performance and reliability. Requirements 5+ years of experience in data engineering and data modeling. Strong proficiency with SQL and data modeling techniques (star, snowflake schemas). Hands-on experience with Snowflake data platform. Proficiency with AWS Glue (ETL jobs, crawlers, workflows). Experience using Apache Kafka for streaming data integration. Experience with batch and streaming data processing. Familiarity with orchestration tools (e.g., Airflow, Step Functions) is a plus. Strong understanding of data governance and best practices in data architecture. Excellent problem-solving skills and communication abilities.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Python (Programming Language), Oracle Procedural Language Extensions to SQL (PLSQL), AWS Aurora, PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. Your typical day will involve collaborating with team members to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and implement software solutions using Python.- Collaborate with cross-functional teams to analyze and address technical issues.- Conduct code reviews and provide feedback to enhance code quality.- Stay updated on industry trends and best practices in software development.- Assist in troubleshooting and resolving application issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), Pyspark, Oracle or SQL DB, AWS - Aurora, S3, Glue- Strong understanding of software development methodologies.- Experience in developing and maintaining applications.- Knowledge of database management systems.- Familiarity with cloud computing platforms.- Ready to work in shifts -12 PM to 10 PM Additional Information:- The candidate should have a minimum of 6 years of experience in Python (Programming Language).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Warm welcome from SP Staffing Services! Reaching out to you regarding permanent opportunity !! Job Description: Exp: 4-6 yrs Location: Chennai/Hyderabad/Bangalore/Pune/Bhubaneshwar/Kochi Skill: Pyspark Implementing data ingestion pipelines from different types of data sources i.e Databases, S3, Files etc.. Experience in building ETL/ Data Warehouse transformation process. Developing Big Data and non-Big Data cloud-based enterprise solutions in PySpark and SparkSQL and related frameworks/libraries, Developing scalable and re-usable, self-service frameworks for data ingestion and processing, Integrating end to end data pipelines to take data from data source to target data repositories ensuring the quality and consistency of data, Processing performance analysis and optimization, Bringing best practices in following areas: Design & Analysis, Automation (Pipelining, IaC), Testing, Monitoring, Documentation. Experience working with structured and unstructured data. Good to have (Knowledge) 1.Experience in cloud-based solutions, 2.Knowledge of data management principles. Interested can share your resume to sangeetha.spstaffing@gmail.com with below inline details. Full Name as per PAN: Mobile No: Alt No/ Whatsapp No: Total Exp: Relevant Exp in Pyspark: Rel Exp in Python: Rel Exp in AWS Glue: Current CTC: Expected CTC: Notice Period (Official): Notice Period (Negotiable)/Reason: Date of Birth: PAN number: Reason for Job Change: Offer in Pipeline (Current Status): Availability for virtual interview on weekdays between 10 AM- 4 PM(plz mention time): Current Res Location: Preferred Job Location: Whether educational % in 10th std, 12th std, UG is all above 50%? Do you have any gaps in between your education or Career? If having gap, please mention the duration in months/year: