Aws Data Jobs In India - 39,549 Job Positions Available

AWS Data Engineer- Airflow - (CREQ258222) Description Senior Data Engineer JD Design develop and maintain scalable ETL pipelines using AWS Glue PySpark and AWS Lambda Migrate structured and semistructured data from existing data lakes eg S3 Hadoop to Amazon Redshift Optimize data ingestion and

Req ID: 373968 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power,

Line of ServiceAdvisory Industry/SectorNot Applicable SpecialismOperations Management LevelSenior Associate Job Description & SummaryAt PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs

Key Responsibilities: Design and implement scalable data lake/lakehouse architectures on AWS using S3 and Iceberg. Develop and optimize ETL/ELT pipelines using PySpark and orchestrate workflows with Apache Airflow. Integrate and manage Snowflake as the enterprise data warehouse and business

This role is for one of the Weekdays clients Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA) Experience: 7+ yrs Location: Bengaluru, Pune Job Type: full-time We are looking for a highly experienced

This role is for one of the Weekdays clients Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA) Experience: 7+ yrs Location: Bengaluru, Pune Job Type: full-time We are looking for a highly experienced

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and

Lead Data Engineer Primary Skills Job Title: Data Product Engineer Experience: 5+ Years Location: India (Hybrid / Remote as applicable) Job Summary We are looking for an experienced Data Product Engineer with a strong background in building, delivering, and

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power,

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We

Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment

Lead Data Engineer Primary Skills Athena, Step Functions, Spark - Pyspark, ETL Fundamentals, SQL (Basic + Advanced), Glue, Python, Lambda, Data Warehousing, EBS /EFS, AWS EC2, Lake Formation, Aurora, S3, Modern Data Platform Fundamentals, PLSQL, Data Modelling Fundamentals, Cloud front Specialization

Job Summary Synechron is seeking a Data Engineer – AWS + Hadoop to build and optimize scalable data pipelines, data lake solutions, and distributed data platforms. This role supports analytics, machine learning, and reporting by delivering reliable, secure, and cost-efficient data solutions.