Jobs for aws data engineer at Pune

About Position: We are seeking an experienced AWS Data Engineer with 8-12 years of experience in designing, developing, and supporting cloud-native data platforms and ETL solutions on AWS. The ideal candidate will be responsible for building scalable data pipelines, implementing event-driven architectures, automating infrastructure, and enabling reliable...

Job DescriptionExp Range 5-10 Years Big Data Hadoop - Hive and DataLake/Spark/Scala solid experience SQL advance knowledge - Been able to test changes and issues properly, replicating the code functionality into SQL Worked with Code Repositories as GIT, Maven, ... DevOps Knowledge (Jenkins, Scripts, ...) - Tools used for deploying software into environments,...

About Position:We are seeking an experienced AWS Data Engineer with 8-12 years of experience in designing, developing, and supporting cloud-native data platforms and ETL solutions on AWS. The ideal candidate will be responsible for building scalable data pipelines, implementing event-driven architectures, automating infrastructure, and enabling reliable data...

Job Description About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global...

We are looking for data engineers who have the right attitude, aptitude, skills, empathy, compassion, and hunger for learning. Build products in the data analytics space. A passion for shipping high-quality data products, interest in the data products space; curiosity about the bigger picture of building a company, product development and its people. ...

DescriptionRole: Data Engineer  Location: Gurugram (Hybrid)  Key Role and Responsibilities:  • Understand and translate business needs into data models supporting long-term  solutions.  • Perform reverse engineering of physical data models from databases and SQL  scripts.  • Analyse data-related system integration challenges and propose...

Proficiency in Python,PySpark architecture, complex SQL, and RDBMS. Hands-on experience with ETL tools (e.g., Informatica) and SCD1, SCD2. 2-6 years of DWH, AWS Services and ETL design knowledge Hand on experience using AWS services like Glue (Pyspark), Lambda, S3, Athena, experience on implementing different loading strategies like SCD1 and SCD2, Table/...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of...

Greetings from TCS!!!Come and join us for an exciting career with TCS!!!Role- AWS Data EngineerExperience: 6 - 9 YearsRequired Skills & QualificationsAMI Rehydration, Cloud formation, EMR, Glue, S3, Lambda/Python, ELB and other AWS components knowledgeAWS monitoring setup and building the traffic dashboard and SNOW incidents for AWS related traffic and...

Exp Range 5-10 YearsBig Data Hadoop - Hive and DataLake/Spark/Scala solid experienceSQL advance knowledge - Been able to test changes and issues properly, replicating the code functionality into SQLWorked with Code Repositories as GIT, Maven, ...DevOps Knowledge (Jenkins, Scripts, ...) - Tools used for deploying software into environments, use of Jira.

 HIRING: AWS Data Engineer ? Locations: Greater Noida | Pune Experience: 6–10 Years Budget: Up to ₹16 LPA Contract Duration: 6 Months Notice Period: Immediate – 15 Days? Role OverviewWe are looking for an experienced AWS Data Engineer with strong expertise in cloud-based data engineering, ETL pipelines, data processing, and AWS data services.?...

About Position: We are seeking an experienced AWS Data Engineer with 8-12 years of experience in designing, developing, and supporting cloud-native data platforms and ETL solutions on AWS. The ideal candidate will be responsible for building scalable data pipelines, implementing event-driven architectures, automating infrastructure, and enabling reliable...

Senior Data Engineer, AWS Data PlatformHiring immediately. We are looking for someone who can start now or on a short notice period.Experience: 5+ years in data engineeringType: Full-timeLocation: Remote (India)Working hours: 5:30 PM to 2:30 AM IST. Hard requirement, not a preference.Stack: AWS (S3, Glue, Redshift, Athena, Lambda, SNS/SQS, SES, RDS...

Pipeline Development & ETL Operations Build robust Extract, Transform, Load (ETL) workflows. Process real-time data streams using Amazon Kinesis. Orchestrate data movement with serverless tools like AWS Lambda or Apache Spark on Amazon EMR. Data Storage & Architecture Management Design and manage secure data lakes on Amazon S3 . Configure relational and...

DescriptionRole: Lead Data Engineer Experience: 9–12 years Location : Pune Must-Have Skills: 9+ years of relevant experience in Data Engineering and project delivery. Strong expertise in Big Data concepts and cloud implementation projects. Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture). Excellent hands-on...

HIRING | AWS DATABRICKS DATA ENGINEER Location: PAN India – Pune, Kolkata, Hyderabad, Chennai, Noida, Warangal, Bangalore, Coimbatore Experience: 8–12 Years Salary: ₹16.5–17.5 LPA Shift: 11:30 AM – 9:00 PM Mandatory: AWS + Databricks ROLE OVERVIEW We are looking for an experienced AWS Databricks Data Engineer with strong expertise in Databricks...

Key ResponsibilitiesETL & Pipeline Development: Design and optimize scalable ETL batch pipelines in AWS for high performance and reliability.Orchestration: Manage data workflows using tools like AWS Glue, MWAA, or Step Functions.Data Processing: Develop large-scale processing jobs using PySpark while ensuring data quality and integrity.Infrastructure as Code...

Key Responsibilities ETL & Pipeline Development: Design and optimize scalable ETL batch pipelines in AWS for high performance and reliability. Orchestration: Manage data workflows using tools like AWS Glue, MWAA, or Step Functions. Data Processing: Develop large-scale processing jobs using PySpark while ensuring data quality and integrity. Infrastructure...

Key Responsibilities ETL & Pipeline Development: Design and optimize scalable ETL batch pipelines in AWS for high performance and reliability. Orchestration: Manage data workflows using tools like AWS Glue, MWAA, or Step Functions. Data Processing: Develop large-scale processing jobs using PySpark while ensuring data quality and integrity. Infrastructure as...

We are seeking an experienced Sr. Data Engineer/Data Engineer + GenAI to design, build, and optimize modern data platforms that enable enterprise-scale analytics, reporting, AI, and business intelligence initiatives. The ideal candidate will possess strong expertise in Databricks, Spark, Kafka, Python, SQL, and AWS data services, with the ability to...