Role AWS Data Engineer Location Pune Mode Hybrid Type Permanent We are seeking a talented and motivated Data Engineer with requisite years of hands-on experience to join our growing data team The ideal candidate will have experience working with large datasets building data pipelines and utilizing AWS public cloud services to support the design development and maintenance of scalable data architectures This is an excellent opportunity for individuals who are passionate about data engineering and cloud technologies and want to make an impact in a dynamic and innovative environment Key Responsibilities Data Pipeline Development Design develop and optimize end-to-end data pipelines for extracting transforming and loading ETL large volumes of data from diverse sources into data warehouses or lakes Cloud Infrastructure Management Implement and manage data processing and storage solutions in AWS Amazon Web Services using services like S3 Redshift Lambda Glue Kinesis and others Data Modeling Collaborate with data scientists analysts and business stakeholders to define data requirements and design optimal data models for reporting and analysis Performance Tuning Optimization Identify bottlenecks and optimize query performance pipeline processes and cloud resources to ensure cost-effective and scalable data workflows Automation Scripting Develop automated data workflows and scripts to improve operational efficiency using Python SQL or other scripting languages Collaboration Documentation Work closely with data analysts data scientists and other engineering teams to ensure data availability integrity and quality Document processes architectures and solutions clearly Data Quality Governance Ensure the accuracy consistency and completeness of data Implement and maintain data governance policies to ensure compliance and security standards are met Troubleshooting Support Provide ongoing support for data pipelines and troubleshoot issues related to data integration performance and system reliability Qualifications Essential Skills Experience 8 years of professional experience as a Data Engineer with a solid background in building and optimizing data pipelines and working with large-scale datasets AWS Experience Hands-on experience with AWS cloud services particularly S3 Lambda Glue Redshift RDS and EC2 ETL Processes Strong understanding of ETL concepts tools and frameworks Experience with data integration cleansing and transformation Programming Languages Proficiency in Python SQL and other scripting languages e g Bash Scala Java Data Warehousing Experience with relational and non-relational databases including data warehousing solutions like AWS Redshift Snowflake or similar platforms Data Modeling Experience in designing data models schema design and data architecture for analytical systems Version Control CI CD Familiarity with version control tools e g Git and CI CD pipelines Problem-Solving Strong troubleshooting skills with an ability to optimize performance and resolve technical issues across the data pipeline Desirable Skills Big Data Technologies Experience with Hadoop Spark or other big data technologies Containerization Orchestration Knowledge of Docker Kubernetes or similar containerization orchestration technologies Data Security Experience implementing security best practices in the cloud and managing data privacy requirements Data Streaming Familiarity with data streaming technologies such as AWS Kinesis or Apache Kafka Business Intelligence Tools Experience with BI tools Tableau Quicksight for visualization and reporting Agile Methodology Familiarity with Agile development practices and tools Jira Trello etc Job Type Permanent Pay 3 000 000 00 - 3 800 000 00 per year Benefits Work from home Experience AWS 4 years Required Data Engineering 6 years Required Python 3 years Required Pyspark Spark 3 years Required Work Location In person

📌 Data Engineer (aws) (Maharashtra)
🏢 ixceed
📍 Maharashtra