1844 Aws Glue Jobs - Page 21

As AWS Data Engineer at organization, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives You will design and maintain scalable data pipelines using AWS data analytical resources, enabling efficient data processing and analytics. Key Responsibilities: - Highly experiences in developing ETL pipelines using AWS Glue and EMR with PySpark/Scala. - Utilize AWS services (S3, Glue, Lambda, EMR, Step Functions) for data solutions. - Design scalable data models for analytics and reporting. - Implement data validation, quality, and governance ...

Description: Server Side Integration Services (SSIS) is a Microsoft data integration tool that allows developers to extract transform and load (ETL) data between different relational databases and file formats. It's a powerful tool for data warehousing data migration and data cleansing. About The Role : for an SSIS Developer: An SSIS developer is responsible for designing developing and maintaining data integration solutions using SSIS. They work closely with business analysts data architects and database administrators to understand data requirements and create efficient ETL processes. Key Responsibilities: Data Analysis:Analyze source and target data systems to understand data structures r...

AWS Glue Developer Location :Hyd/Pune/Kolkatta Experience6+ years Budget:17-26 LPA Mandatory skill : AWS Glue, AWS Step Function, Pyspark,Python NP- Immediate Grade:C1/C2 Pyspark SparkSQL SQL and Glue. ii. AWS cloud experience iii. Good understanding of dimensional modelling iv. Good understanding DevOps CloudOps DataOps CI/CD & with a SRE mindset v. Understanding of Lakehouse and DW architecture vi. strong analysis and analytical skills vii. understanding of version control systems specifically Git viii. strong in software engineering APIs Microservices etc. Soft skills i. written and oral communication skills ii. ability to translate business needs to system and s

AWS Glue Developer Location :Hyd/Pune/Kolkatta Experience6+ years Budget:17-26 LPA Mandatory skill : AWS Glue, AWS Step Function, Pyspark,Python NP- Immediate Grade:C1/C2 Pyspark SparkSQL SQL and Glue. ii. AWS cloud experience iii. Good understanding of dimensional modelling iv. Good understanding DevOps CloudOps DataOps CI/CD & with a SRE mindset v. Understanding of Lakehouse and DW architecture vi. strong analysis and analytical skills vii. understanding of version control systems specifically Git viii. strong in software engineering APIs Microservices etc. Soft skills i. written and oral communication skills ii. ability to translate business needs to system and s

Data engineer Skills Required: Strong proficiency in Pyspark , Scala , and Python Experience with AWS Glue Experience Required: Minimum 5 years of relevant experience Location: Available across all UST locations Notice Period: Immediate joiners (Candidates available to join by 31st January 2025 ) SO - 22978624 Location - Chandigarh,Dadra & Nagar Haveli,Daman,Diu,Goa,Haveli,Jammu,Lakshadweep,Nagar,New Delhi,Puducherry,Sikkim

AWS Data Engineer 8-11 years AWS Data Engineer, Python Python, S3, RDS, Glue, Lambda, IAM, SNS, SQL , Quicksight

JPC REQ- JPC REQ- SR.AWS DATA ENGINEER--- BANGALORE, CHENNAI, HYDERABAD, pune--5 + years----40 LPA------ imm-60 days---Arun Dharne -----congnizant----sharvin--Perm

Senior Data Engineer The Healthcare Digital team at Compass Group is looking for a highly skilled Data Engineer. The ideal candidate will have expertise in ETL, Data Warehouse and Business Intelligence data management technologies. Experience and skill in the following areas is expected: ETL/ELT Pipeline Development: Design, implement, and optimize scalable data pipelines (ETL/ELT processes) to ingest, process, and load large volumes of data from various sources (DBs, APIs, flat files, real-time streams) Data Transformation & Quality: Transform raw, complex data into clean, consistent, and analysis-ready formats. Implement automated data quality checks, validation, and monitoring systems to ...

Job Title: Data Engineer Pharma/Life Sciences Domain Company: Indegene (Client Location) Experience: 5–10 Years Location: Bangalore (Onsite/Hybrid) Employment Type: Full-Time Industry: Healthcare / Pharma / Life Sciences Job Description We are looking for a highly skilled Data Engineer with strong experience in data engineering technologies and a solid understanding of the Healthcare/Pharma/Life Sciences domain . The ideal candidate will be responsible for designing, building, and optimizing end-to-end data pipelines that support analytics, insights, and data-driven decisions. Roles & Responsibilities Design, develop, and maintain scalable data pipelines, ETL workflows, and data integration ...

Role & responsibilities Create and maintain optimal data pipeline architecture for efficient and reliable data processing. Assemble large, complex data sets that meet functional / non-functional business requirements. Database management, ETL process, Data modelling, ensuring data quality and integrity. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Seeking a Data Engineer skilled in Python & AWS. Build and optimize data pipelines, models, and architectures using Lambda, Redshift, Glue, etc. Strong SQL/NoSQL, monitoring (CloudWatch/Grafana), and data governance expertise required.

As a Data Engineer at our company, you will play a crucial role in designing, building, and managing robust and scalable data pipelines using Python, SQL, and AWS. Your key responsibilities will include: - Designing, building, and managing robust and scalable data pipelines (batch and real-time). - Developing ETL processes to acquire, transform, and integrate data from multiple sources. - Building and maintaining data warehouses, data lakes, and other storage solutions. - Optimizing data systems for performance, reliability, and scalability. - Collaborating with cross-functional teams to understand data requirements and deliver efficient solutions. - Ensuring data quality, consistency, and i...

Role Overview: You have an exciting opportunity as a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking- JP Wealth Management. In this role, you will be a seasoned member of an agile team responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable manner. Your role involves executing software solutions, technical troubleshooting, and contributing to critical technology solutions across various business functions to support the firm's objectives. Key Responsibilities: - Execute software solutions, design, development, and technical troubleshooting with innovative approaches - Create secure and high-qualit...

Role Overview: Join the digital revolution at NatWest Digital X as a Data Engineer, where you will play a key role in simplifying the organization by developing innovative data-driven solutions, ensuring customer value, and maintaining data security. As a Data Engineer, you will be responsible for building effortless, digital-first customer experiences and driving customer value through the application of appropriate data solutions. Key Responsibilities: - Develop innovative data-driven solutions through data pipelines, modelling, and ETL design - Drive customer value by understanding complex business problems and requirements - Build advanced automation of data engineering pipelines - Embed...

Job Title: AWS Senior Data Engineer Experience Required: Minimum 4+ years Job Summary : We are seeking a skilled Data Engineer with a strong background in data ingestion, processing, and storage. The ideal candidate will have experience working with various data sources and technologies, particularly in a cloud environment. You will be responsible for designing and implementing data pipelines, ensuring data quality, and optimizing data storage solutions. Key Responsibilities: Design, develop, and maintain scalable data pipelines for data ingestion and processing using Python, Spark, and AWS services. Work with on-prem Oracle databases, batch files, and Confluent Kafka for data sourcing. Impl...

Dear Candidate Greetings from TATA Consultancy Services Job Openings at TCS Skill : AWS Data engineer+ Pyspark Exp range: 4 yrs to 7 yrs Location : Pune/Hyd/Indore Notice period Immediate Pls find the Job Description below. Hands-on experience in Glue, Pyspark Experience on EMR, S3, IAM, Lambda, Cloud formation, Python AMI Rehydration, Python, ELB and other AWS components knowledge AWS monitoring setup and building the traffic dashboard and SNOW incidents for AWS related traffic and services CI/CD build and deployment support Ensure reliability of data pipelines, ETL processes, data transformations Identify areas of improvement in data quality processes, propose solutions to enhance data rel...

Skill Name AWS Data Engineer Work Location Open for all USI Detailed JD Experience 5 to 8 (preferred Senior first) Mandatory: .AWS Glue (5 yrs), S3, Lamda, Apache, Airflow. Good to have: Client facing role need best comms, Individual contributor Rounds of interview R1 and R2 – Sr Consultant level Mode of interview (Virtual/ In-person) Virtual Work timing 11 PM – 8 PM Work Mode (Remote/ On-site/ Hybrid) Hybrid (2 days a week)

- AWS Services - Data Architecture - Data Solutioning - AWS GLUE , S3, RDS Watsapp Anuj - 8249759636 for more details

Role Overview: You will be a hands-on Senior Data Engineer responsible for overseeing database administration, optimization, and development of a centralized Data Warehouse to support the company's analytics and AI strategy. Your role will involve ensuring the performance, reliability, and security of the database infrastructure, designing and implementing scalable data pipelines, and collaborating with various teams to enable data-driven decision-making. Key Responsibilities: - Ensure performance, availability, and security of the database infrastructure, including tuning, optimization, and backup/recovery strategies for approximately 75 instances. - Lead the design, development, and implem...

As a Software Developer at our organization, you will work in a constantly evolving environment, due to technological advances and the strategic direction of the organization. Your main responsibilities will include creating, maintaining, auditing, and improving systems to meet specific needs, often as advised by a systems analyst or architect. You will be testing both hardware and software systems to diagnose and resolve system faults. Additionally, you will be writing diagnostic programs, designing, and writing code for operating systems and software to ensure efficiency. When required, you will also make recommendations for future developments. Key Responsibilities: - Develop, test, deplo...

As a talented Snowflake Developer at the company, your role will involve designing, developing, and maintaining efficient data storage and retrieval solutions within the Snowflake platform. You will need to have a deep understanding of data warehousing concepts, strong SQL skills, and experience in implementing Snowflake best practices. Working closely with cross-functional teams, you will gather requirements, design data models, and optimize performance for data-driven applications and client interactions. It is essential that you have experience working in an Agile manner to execute projects effectively. Key Responsibilities: - Designing and developing ETL pipelines using SQL and other tec...

Job description Hiring for AWS Architect Mandatory Skills: AWS services, Data & Analytics Responsibilities A day in the life of an Infoscion As part of the Infosys consulting team, your primary role would be to actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation and design and deployment You will explore the alternatives to the recommended solutions based on research that includes literature surveys, information available in public domains, vendor evaluation information, etc. and build POCs You will create requirement specifications from the business needs, define the to-be-processes and detailed ...

An AWS Data Engineer designs and builds data pipelines using AWS services like Glue, Redshift, and S3. They manage data extraction, transformation, and loading (ETL) from multiple sources. They ensure data accuracy, security, and high performance in AWS environments. They work with analysts and business teams to deliver data for reporting and insights. They also monitor, optimize, and automate data workflows for better efficiency.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : AWS Architecture Good to have skills : Python (Programming Language)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quali...

As a Data Engineer, youll be building and scaling mission-critical data products that power worldwide operations business decisions. In this role, youll drive technical excellence while building data infrastructure and products. Youll be working on scalable solutions that process petabytes of data daily, serving diverse user personas from front-line operators to corporate leadership. We expect you to bring strong technical acumen to solve difficult problems at scale, while maintaining high operational standards and driving innovation in both traditional analytics and AI/ML domains. Design and implement scalable, secure data pipelines and infrastructure using AWS technologies and big data too...