Data Engineer - AWS Platform in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
About the Role:We are looking for an experienced AWS Data Engineer with 6 - 8 years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions on AWS. The ideal candidate should have strong expertise in Python, PySpark, SQL, and AWS data services, with experience building robust ETL pipelines and Cloud-based data https://jobeax.com/link/JcPnJNS8HEL7JdHn Responsibilities:- Design, develop, and maintain scalable data pipelines and ETL workflows on AWS.- Develop efficient data processing solutions using python and pySpark.- Write complex and optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data lake solutions.- Orchestrate and automate workflows using AWS Step Functions.- Implement event-driven architectures using Amazon EventBridge.- Use Amazon Athena for querying and analyzing data stored in Amazon S3.- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.- Collaborate with data architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across data engineering https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack:- Python, PySpark, SQL, AWS Glue, AWS Glue Data Catalog, AWS Lambda, Amazon S3, AWS Step Functions, Amazon EventBridge, Amazon https://jobeax.com/link/TvfOgTReNTFVgNXo Skills:- Experience working with AWS Data Lake architectures.- Knowledge of data partitioning, file formats such as Parquet/Avro, and data optimization techniques.- Experience with CI/CD and DevOps practices for data pipelines.- Understanding of data security, IAM, monitoring, and governance on AWS.- Good problem-solving and communication https://jobeax.com/link/LGmb3dSeAFrVWm6i Requirements:- Notice Period: Immediate to 15 Days.- Experience: 6 - 8 Years.- Work Mode: Hybrid. (ref:hirist.tech)
... governance and data quality engines. The position enables trusted, governed data across systems, supporting analytics, compliance, and business operations at ELGi. Data Engineering & Architecture Design scalable, production-grade ETL/ELT pipelines across Azure, AWS, and GCP. Develop modular, reusable data engineering frameworks ...
... OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer) - Relevant data engineering or big ...
... Develop analytics dashboards and reporting solutions using Amazon QuickSight.- Implement CI/CD pipelines and Infrastructure as Code (IaC).- Monitor and maintain data platforms using observability and monitoring tools.- Collaborate with Data Scientists, ML Engineers, and Backend Developers.- Support AWS cloud migration and ...
Data Engineer – Python & Pyspark (AWS) Exp: 6+ yrs Location : Chennai Client Place Guindy Work Mode : All 5 days Role Overview We're seeking a Senior Data Engineer with strong hands-on expertise in Python, PySpark, and AWS to design, build, and operate scalable data pipelines for analytics and operational workloads. You ...
... Senior Data Engineer with strong hands-on experience building and supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different ...
... Collaborate with the Data Architect to understand data platform requirements and design specifications. Assist with data modelling and optimization tasks. Document the data platform architecture, processes, and best practices. Stay up to date with the latest trends and technologies in full stack development, data engineering, and ...
... Splink for entity resolution and record linkage. Strong SQL and Python programming skills. Experience with ETL/ELT pipeline development. Familiarity with cloud platforms like AWS, Azure, or GCP. Knowledge of data engineering best practices and scalable architectures. Experience with Apache Spark or PySpark. Knowledge of Docker, ...
... https://jobeax.com/link/1WbmlmCgbnFpHH5X Qualifications/Expertise :- Experience with relational SQL and NoSQL databases, especially AWS Redshift.- Experience with AWS cloud services Preferable: S3, EC2, Lambda, Glue, EMR, Code pipeline highly preferred.- Experience with similar services on another platform would also be https://jobeax.com/link/GoznBGoqJuGnvkx1 ...
... scalable AI/ML solutions Evaluate emerging technologies and frameworks to enhance MLOps capabilities Ideal Candidate Will Have Strong, hands-on experience in data engineering — pipelines, cloud infrastructure, data architecture, and production-grade deployments Demonstrated experience with cloud platforms (AWS required; ...
... features and data contracts. Build and ship models to: Enhance customer experiences and personalization Boost revenue via pricing/discount optimization Detect and block fraud/risk in real time Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS. Build monitoring for model/data drift and business KPIs
Data Engineer: PySpark+AWS Glue 4-8 years in Data Engineering with hands-on expertise in Snowflake, AWS Glue, AWS (S3/Lambda/CloudWatch), Python, PySpark, and SQL. Strong experience in ETL/ELT, Data Warehousing, Data Pipelines, Performance Tuning, and Cloud Data Platforms. Exposure to AI/ML or GenAI solutions is a plus ...
... engineering solution components- Strong analytical and problem-solving skills.- Excellent communication and collaboration skillsGood to Have :- Certifications on AWS platform, preferably related to Data Engineering- Experience working with Amazon AppFlow, EKS, API Gateway, NoSQL database services- Good understand and experience ...
... to collaborate cross-functionally with product managers, data scientists, and other engineering teams to deliver cohesive data solutions. - Familiarity with data governance and security practices to ensure compliance and data integrity. Preferred: - Prior experience working with Databricks and AWS cloud services. - Experience ...
... implementation, ensuring adherence to design and Azure best https://jobeax.com/link/n702ZGttRFQk9ztb Requirements : - 10+ years overall, with 8+ years in Azure Data/AI architecture, and proven experience architecting and delivering large-scale data platforms on Microsoft Azure.- Pre-sales experience : customer discovery, ...
... JIRA, Provar, etc. Experience working in enterprise-scale Salesforce environments. Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field, or equivalent practical experience. Salesforce Platform Developer I certification (required). Salesforce Platform Developer II certification ...
... AI Platform Engineer and FPMs — covering planning, tool use, and task execution. Wire agents into internal and external business systems via secure APIs and data access patterns already established by the platform team. Reuse and extend existing agent frameworks/libraries rather than building one-offs. Move across Channel ...
... tool and data integration layer connecting agents to external data sources, APIs, and domain-specific infrastructure systems. Collaborate closely with agent, data, and domain teams to ensure platform abstractions support evolving research and product requirements. 4+ years of backend engineering experience building and ...
... and modern CSS/JS frameworks. Proven track record of developing custom web services and handling REST/SOAP API integrations. Direct experience deploying metadata and applications via Salesforce DevOps Center and Azure CI/CD platforms (or equivalent Git-based build pipelines). Practical exposure or functional training on ...
Strong expertise in Apex, Lightning Web Components (LWC), Visualforce, and SOQL. • Experience with Salesforce integrations (REST/SOAP APIs, middleware tools). ~• Familiarity with Salesforce Sales Cloud, Service Cloud, and Marketing Cloud (must) Must Have Salesforce Platform Developer I certification
... Cloud and Experience Cloud, including custom objects and Flows. Develop and support Salesforce integrations leveraging REST/SOAP APIs and MuleSoft Anypoint Platform APIs. Implement automation using Flow, approval processes, and AIassisted capabilities (Agentforce). Participate in code reviews, testing, and CI/CD release ...