Sr. Data Engineer (AWS)

As an AWS Sr. Data Engineer, you will solve some of the most impactful business problems for our clients using a variety of AWS services. You will collaborate with business partners and domain experts to design and develop innovative solutions with the models to achieve predefined outcomes."}) , (0 , Je.jsx)("h1" , {children:"Responsibilities"}) , (0 , Je.jsxs)("ul" , {children:[(0 , Je.jsx)("li" , {children:"Collect and ingest data from various sources into AWS, such as databases, streaming platforms, logs, APIs, and external data providers."}) , (0 , Je.jsx)("li" , {children:"Design and manage data storage solutions on AWS, including data lakes, data warehouses, and NoSQL databases like Amazon S3, Amazon Redshift, Amazon DynamoDB, and others."}) , (0 , Je.jsx)("li" , {children:"Implement ETL (Extract, Transform, Load) processes to clean, transform, and enrich raw data into a format suitable for analysis and reporting."}) , (0 , Je.jsx)("li" , {children:"Implement ETL (Extract, Transform, Load) processes to clean, transform, and enrich raw data into a format suitable for analysis and reporting."}) , (0 , Je.jsx)("li" , {children:" Ensure data security and compliance with AWS security best practices by configuring access controls, encryption, and monitoring."}) , (0 , Je.jsx)("li" , {children:"Implement data quality checks, data profiling, and data governance practices to maintain data accuracy and consistency."}) , (0 , Je.jsx)("li" , {children:"Monitor and optimize data pipelines and storage solutions for performance, scalability, and cost-effectiveness."}) , (0 , Je.jsx)("li" , {children:" Build real-time data processing solutions using AWS services like Amazon Kinesis, AWS Lambda, or Apache Kafka for streaming data."})]}) , (0 , Je.jsx)("h4" , {children:"Requirements"}) , (0 , Je.jsxs)("ul" , {children:[(0 , Je.jsx)("li" , {children:"BE / B-Tech / MTech"}) , (0 , Je.jsx)("li" , {children:"5+ years of work experience with ETL, Data Modelling, and/or Data Architecture."}) , (0 , Je.jsx)("li" , {children:"AWS data factory, Logic apps, API management, MySQL"}) , (0 , Je.jsx)("li" , {children:"Experience in Database engineering and refactoring, with ETL using AWS data factory."}) , (0 , Je.jsx)("li" , {children:"Experience with Data warehouse development and maintenance with AWS Synapse Database."}) , (0 , Je.jsx)("li" , {children:"Proficiency in SQL and experience with different database systems, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)."}) , (0 , Je.jsx)("li" , {children:"Extensive Pipeline development using AWS Data Factory and Databricks including exposure to Cloud functions"}) , (0 , Je.jsx)("li" , {children:"Translate business requirements to technical specs and execute"}) , (0 , Je.jsx)("li" , {children:"Good communication skills and soft skills for team/stakeholder management"})]})]}) , (0 , Je.jsx)("div" , {className:"col pt-5 pb-5" , style:{minWidth:"350px"} , children:(0 , Je.jsx)(er , {