4 Amazon Athena Jobs

Collaborate with business stakeholders to understand data needs and translate them into analytical requirements. Analyze large datasets to uncover trends, patterns, and actionable insights. Design and build dashboards and reports using Power BI. Perform ad-hoc analysis and develop data-driven narratives to support decision-making. Ensure data accuracy, consistency, and integrity through data validation and quality checks. Build and maintain SQL queries, views, and data models for reporting purposes. Communicate findings clearly through presentations, visualizations, and written summaries. Partner with data engineers and architects to improve data pipelines and architecture. Contribute to the definition of KPIs, metrics, and data governance standards. Job Specification / Skills and Competencies Bachelors or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in a data analyst or business intelligence role. Advanced proficiency in SQL and experience working with relational databases (e.g., SQL Server, Redshift, Snowflake). Job Description 2 Hands-on experience in Power BI. Proficiency in Python, Excel and data storytelling. Understanding of data modelling, ETL concepts, and basic data architecture. Strong analytical thinking and problem-solving skills. Excellent communication and stakeholder management skills To adhere to the Information Security Management policies and procedures. Soft Skills Required Must be a good team player with good communication skills Must have good presentation skills Must be a pro-active problem solver and a leader by self Manage & nurture a team of data engineersRole & responsibilities Preferred candidate profile

Requirement : - 3-4 years hands-on experience on AWS, ideally SaaS in the cloud - 1-2 years of experience in working with AWS Connect, Lex Bots. - Experience developing solutions with code/scripting language must have Python experience (e.g, python, Node.js) - Experience in building, troubleshooting contact centre solutions and getting hands on. - Experience in creating and configuring AWS resources like VPC, API Gateway, CloudWatch, Athena, Glue, Cloud-Formation, EC2, Lambda, Connect, SNS, etc. - Designing highly available applications with responsibility for infrastructure robustness, including networking, communications, EC2 and storage - Application, server, and/or network security - Working knowledge of popular communications protocols and APIs such as WebRTC and SIP - Experience in working with creating Contact workflows, Routing Profile, Voice & Chat management and Callback Queue management - Good in trouble shooting, debugging and problem solving of AWS environment. - Being experience on Git source controller, and Git workflows. - Good to have knowledge on CRM integration. Skill Sets : - Being able to configure and work with Source control (like Git, bitbucket and so forth) - Have basic knowledge on Scrum and Agile and know the values of continues deployment and delivery. - Being strong in team work and willing to help teammates. - Willing to deep dive on issues in hand and come up with solutions. - Looking for continues improvement and willing to learn and try new technologies. - Being accountable and responsible and hold his/her peers accountable. - Able to read and reverse engineer existing/legacy code in timely manner. - Being able to break down complex task to smaller one.

Responsibilities :- Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services.- Design, develop, and maintain data pipelines using AWS serverless technologies such as- Glue, S3, Lambda, DynamoDB, Athena, and RedShift.- Implement data modeling techniques to optimize data storage and retrieval processes.- Develop and deploy data processing and transformation frameworks to support both real- time and batch processing requirements.- Ensure data pipelines are scalable, reliable, and performant to handle large-scale data sizes.- Implement data documentation and observability tools and practices to monitor . Hands on experience of Spark, Scala and conversant with SQL (Scala +AWS is mandatory)Good knowledge on Hadoop (Oozie)Reverse engineer the SQL queries, Scala code to understand functionalityCapable of identifying, analysing and interpret patterns and trends in complex data sets5. Should have strong experience on AWS (EMR, S3)Has worked on creating database design, data models & techniques for data mining. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Responsibilities : - Collaborate with stakeholders to understand business requirements and data needs, and translate them into scalable and efficient data engineering solutions using AWS Data Services. - Design, develop, and maintain data pipelines using AWS serverless technologies such as Glue, S3, Lambda, DynamoDB, Athena, and RedShift. - Implement data modeling techniques to optimize data storage and retrieval processes. - Develop and deploy data processing and transformation frameworks to support both real- time and batch processing requirements. - Ensure data pipelines are scalable, reliable, and performant to handle large-scale data sizes. - Implement data documentation and observability tools and practices to monitor .