185 Aws Emr Jobs - Page 8

Dear Candidate, This is with reference to your profile on the job portal. And got shortlisted in RD1 Deloitte India Consulting has an immediate requirement for the following role. Job Notice period: Looking for immediate 4 Weeks (Max) Location : Any Job Description Skill : AWS Data Engineer Incase if you are interested, please share your updated resume along with the following details.(Mandatory) To smouni@deloitte.com Candidate Name Mobile No. Email ID Skill Total Experience Education Details Current Location Requested location Current Firm Current CTC Exp CTC Notice Period/LWD Feedback Mounika S Consultant| Talent Team

Design and develop integration of Snowflake with a cloud platform and platform enhancements, integrations, and performance optimisation. Work on data ingestion, transformation, cataloguing, and lineage tracking, Develop and architect ETL workflows. Required Candidate profile 5 years in developing and scaling data platforms centered around Snowflake, with Azure. Understanding of modern data architectures such as Data Mesh, Lakehouse, and ELT. Familiarity with DCAM

Requirements for the candidate: Data Engineer with a minimum of 7+ years of experience of data engineering experience. The role will require deep knowledge of data engineering techniques to create data pipelines and build data assets. At least 4+ years of Strong hands on programming experience with Pyspark / Python / Boto3 including Python Frameworks, libraries according to python best practices. Strong experience in code optimization using spark SQL and pyspark. Understanding of Code versioning, Git repository, JFrog Artifactory. AWS Architecture knowledge specially on S3, EC2, Lambda, Redshift, CloudFormation etc and able to explain benefits of each Code Refactorization of Legacy Codebase: Clean, modernize, improve readability and maintainability. Unit Tests/TDD: Write tests before code, ensure functionality, catch bugs early. Fixing Difficult Bugs: Debug complex code, isolate issues, resolve performance, concurrency, or logic flaws.

Ready to shape the future of work? At Genpact, we dont just adapt to changewe drive it. AI and digital innovation are redefining industries, and were leading the charge. Genpacts AI Gigafactory, our industry-first accelerator, is an example of how we’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’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, 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 – 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 AWS DataLake! Responsibilities Having knowledge on DataLake on AWS services with exposure to creating External Tables and spark programming. The person shall be able to work on python programming. Writing effective and scalable Python codes for automations, data wrangling and ETL. Designing and implementing robust applications and work on Automations using python codes. Debugging applications to ensure low-latency and high-availability. Writing optimized custom SQL queries Experienced in team and client handling Having prowess in documentation related to systems, design, and delivery. Integrate user-facing elements into applications Having the knowledge of External Tables, Data Lake concepts. Able to do task allocation, collaborate on status exchanges and getting things to successful closure. Implement security and data protection solutions Must be capable of writing SQL queries for validating dashboard outputs Must be able to translate visual requirements into detailed technical specifications Well versed in handling Excel, CSV, text, json other unstructured file formats using python. Expertise in at least one popular Python framework (like Django, Flask or Pyramid) Good understanding and exposure on any Git, Bamboo, Confluence and Jira. Good in Dataframes and SQL ANSI using pandas. Team player, collaborative approach and excellent communication skills Qualifications we seek in you! Minimum Qualifications BE/B Tech/ MCA • Excellent written and verbal communication skills • Good knowledge of Python, Pyspark Preferred Qualifications/ Skills Strong ETL knowledge on any ETL tool – good to have. Good to have knowledge on AWS cloud and Snowflake. Having knowledge of PySpark is a plus. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’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.

Educational Requirements Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews. You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skillsTechnology-Big Data - Data Processing-Map Reduce Preferred Skills: Technology-Big Data - Data Processing-Map Reduce

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As a senior SAP Consultant, you will serve as a client-facing practitioner working collaboratively with clients to deliver high-quality solutions and be a trusted business advisor with deep understanding of SAP Accelerate delivery methodology or equivalent and associated work products. You will work on projects that assist clients in integrating strategy, process, technology, and information to enhance effectiveness, reduce costs, and improve profit and shareholder value. There are opportunities for you to acquire new skills, work across different disciplines, take on new challenges, and develop a comprehensive understanding of various industries. Your primary responsibilities include: Strategic SAP Solution FocusWorking across technical design, development, and implementation of SAP solutions for simplicity, amplification, and maintainability that meet client needs. Comprehensive Solution DeliveryInvolvement in strategy development and solution implementation, leveraging your knowledge of SAP and working with the latest technologies. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on AWS; Exposure to streaming solutions and message brokers like Kafka technologies. Experience in AWS EMR / AWS Glue / DataBricks, AWS RedShift, DynamoDB Good to excellent SQL skills Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / AWS eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala ; Minimum 3 years of experience on Cloud Data Platforms on AWS; Experience in AWS EMR / AWS Glue / Data Bricks, AWS RedShift, DynamoDB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in AWS and Data Bricks or Cloudera Spark Certified developers

ICE Mortgage Technology is driving value to every customer through our effort to automate everything that can be automated in the residential mortgage industry. Our integrated solutions touch each aspect of the loan lifecycle, from the borrower's "point of thought" through e-Close and secondary solutions. Drive real automation that reduces manual workflows, increases productivity, and decreases risk. You will be working in a dynamic product development team while collaborating with other developers, management, and customer support teams. You will have an opportunity to participate in designing and developing services utilized across product lines. The ideal candidate should possess a product mentality, have a strong sense of ownership, and strive to be a good steward of his or her software. More than any concrete experience with specific technology, it is critical for the candidate to have a strong sense of what constitutes good software; be thoughtful and deliberate in picking the right technology stack; and be always open-minded to learn (from others and from failures). Responsibilities Develop high quality data processing infrastructure and scalable services that are capable of ingesting and transforming data at huge scale coming from many different sources on schedule. Turn ideas and concepts into carefully designed and well-authored quality code. Articulate the interdependencies and the impact of the design choices. Develop APIs to power data driven products and external APIs consumed by internal and external customers of data platform. Collaborate with QA, product management, engineering, UX to achieve well groomed, predictable results. Improve and develop new engineering processes & tools. Knowledge and Experience 3+ years of building Enterprise Software Products. Experience in object-oriented design and development with languages such as Java. J2EE and related frameworks. Experience building REST based micro services in a distributed architecture along with any cloud technologies. (AWS preferred) Knowledge in Java/J2EE frameworks like Spring Boot, Microservice, JPA, JDBC and related frameworks is must. Built high throughput real-time and batch data processing pipelines using Kafka, on AWS environment with AWS services like S3, Kinesis, Lamdba, RDS, DynamoDB or Redshift. (Should know basics at least) Experience with a variety of data stores for unstructured and columnar data as well as traditional database systems, for example, MySQL, Postgres Proven ability to deliver working solutions on time Strong analytical thinking to tackle challenging engineering problems. Great energy and enthusiasm with a positive, collaborative working style, clear communication and writing skills. Experience with working in DevOps environment you build it, you run it Demonstrated ability to set priorities and work in a fast-paced, dynamic team environment within a start-up culture. Experience with big data technologies and exposure to Hadoop, Spark, AWS Glue, AWS EMR etc (Nice to have) Experience with handling large data sets using technologies like HDFS, S3, Avro and Parquet (Nice to have)