6 Amazon Athena Jobs

About Delta Tech Hub: Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers. Responsibilities: Marketing Automation & Deployment: Oversee the deployment of marketing automation workflows and jobs into production environments, ensuring reliability, scalability, and performance. Collaborate with cross-functional teams to manage application deployment and configuration, adhering to DevOps best practices. Technology Modernization & Migration: Lead the migration of legacy systems to modern technologies, including Python and AWS, promoting the adoption of scalable, cloud-native solutions. Support the team in transitioning from SAS/UNIX-based systems to a more agile and maintainable Python / AWS framework. Automation Framework & ETL Development: Maintain and enhance the existing automation framework using SAS, UNIX, Python, and AWS in partnership with developers and IT stakeholders. Design, develop, and maintain robust ETL (Extract, Transform, Load) pipelines leveraging AWS services such as Glue, Lambda, and Step Functions. Architecture & Infrastructure Alignment: Collaborate with solution architects and platform leads to ensure automation pipelines align with the organizations future-state marketing technology architecture. Contribute to the evolution of the marketing platform by supporting integrations with Customer Data Platforms (CDPs), journey orchestration tools, and AI-driven workflow engines. Data Governance & Documentation: Ensure all solutions adhere to industry best practices for version control, security, and data governance. Create and maintain comprehensive documentation of pipeline architecture, data workflows, and operational processes for both technical and non-technical stakeholders. Agile Development & Collaboration: Actively participate in daily stand-ups, sprint planning, and retrospectives. Work closely with team members to refine requirements, test solutions, and debug issues to meet evolving business and technical needs. Innovation & Continuous Improvement: Stay abreast of industry trends, emerging tools, and best practices in data engineering and marketing technology. Develop proof-of-concepts and propose innovative solutions to technical and non-technical teams, driving continuous improvement in data workflows and marketing insights. What you need to succeed (minimum qualifications): Education: Bachelors degree in computer science, Engineering, Information Systems, or a related field or an equivalent combination of education, training, and hands-on experience in computer systems engineering. Experience: Minimum 6 years of experience designing, implementing, and managing large-scale enterprise data warehouse solutions, particularly in Teradata or Amazon Redshift environments. Experience building and maintaining ETL pipelines using AWS services. Technical Skills: Strong understanding of relational and non-relational data warehouse architectures and best practices. Proficient in Python, SQL, PySpark, and Unix shell scripting, with a focus on writing clean, maintainable, and well-documented code. Hands-on experience with AWS services, including but not limited to: Amazon MWAA (Managed Workflows for Apache Airflow) AWS Glue AWS Lambda Amazon S3 Amazon Athena Design, develop, and maintain robust ETL (Extract, Transform, Load) processes leveraging AWS Serverless Services such as Glue, Lambda, and Step Functions. Maintain and enhance the existing automation framework using SAS, UNIX, Python, and AWS Serverless Services. Data Expertise: Proven ability to work with large, complex datasets, ensuring performance and scalability. Strong analytical and problem-solving skills, with a track record of delivering efficient and reliable data solutions. Marketing Technology Exposure: Experience with Customer Data Platforms (CDPs), real-time journey orchestration, and AI-driven marketing systems such as Adobe Experience Platform and Adobe Journey Optimizer. Experience supporting data integrations between cloud infrastructure and marketing engagement platforms. Familiarity with Salesforce Marketing Cloud (Automation Studio, Journey Builder) and integration methods (APIs, SFTP, etc.) Communication & Collaboration: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. What will give you a competitive edge (preferred qualifications): Knowledge or related experience in the airline industry. AWS Certifications. ID: DELSL06 Show more Show less

Contractual (Project-Based) Notice Period: Immediate - 15 Days Fill this form: https://forms.office.com/Pages/ResponsePage.aspx?id=hLjynUM4c0C8vhY4bzh6ZJ5WkWrYFoFOu2ZF3Vr0DXVUQlpCTURUVlJNS0c1VUlPNEI3UVlZUFZMMC4u Resume- shweta.soni@panthsoftech.com

Collaborate with stakeholders to gather data needs, perform EDA, analyze large datasets, use stats to find trends, build Power BI dashboards, write SQL queries, ensure data quality, and present insights to support decisions and improve data systems.

????We're Hiring | Senior Data Analyst??? ???? Location: Trivandrum / Kochi / Remote ???? Notice Period:Immediate Joiners Only ???? Budget:Up to ?19 LPA ???? Experience:5+ Years ????Preference: Keralites only Are you a data-driven problem solver with a passion for analytics and business intelligence We're on the lookout for aSenior Data Analystto join our growing Data & Analytics team! ?Must-Have Skills ????SQL,Power BI, andPython ???? Experience withAmazon Athenaand relational databases like SQL Server, Redshift, or Snowflake ???? Knowledge ofdata modeling,ETL, anddata architecture ???? Strongdata storytellingand visualization capabilities ???? Excellentcommunicationandstakeholder managementskills ????Key Responsibilities Analyze large and complex datasets to drive actionable insights Build compelling dashboards and reports in Power BI Collaborate with business and technical teams Maintain data quality, consistency, and accuracy Mentor and guide a team of data engineers ????We are giving preference to candidates from Keralawho are ready to join immediately and thrive in a fast-paced, collaborative environment. #Hiring #SeniorDataAnalyst #PowerBI #SQL #Python #KeralitesPreferred #KeralaJobs #TrivandrumJobs #KochiJobs #ImmediateJoiners #RemoteJobs #DataAnalytics #BusinessIntelligence

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.