1067 Athena Jobs - Page 18

This is 100% WFO opportunity at our Whitefield, Bengaluru office. Please don't apply if you can't comply. Position Overview: We seek a highly skilled and experienced Data Engineering Lead to join our team. This role demands deep technical expertise in Apache Spark, Hive, Trino (formerly Presto), Python, AWS Glue, and the broader AWS ecosystem. The ideal candidate will possess strong hands-on skills and the ability to design and implement scalable data solutions, optimise performance, and lead a high-performing team to deliver data-driven insights. Key Responsibilities: Technical Leadership Lead and mentor a team of data engineers, fostering best practices in coding, design, and delivery. Dri...

About the Company : `Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Please find the Details below: Job Position (Title) Bigdata Engineers / Leads Experience Required- 6 Yrs Location- Bangalore Technical Skill Requirements - Bigdata, AWS, SQL, Pyspark, Spark, Python, Hive, Airflow Pls share th...

Cloud native application with AWS Lambda ECS Fargate DynamoDB SNS SQS Automate infrastructure using AWS CDK CloudFormation VPC IAM Subnets Security Groups from network to application layer ETL pipelines SQL Apache Spark AWS Redshift Athena S3 Iceberg

We are looking for an experienced Data Engineer to join our team and support the Data Analytics Platform. This role focuses on building and maintaining scalable, secure, and high-performance data infrastructure using AWS services.

Expertise in Tableau Experience integrating with Redshift or other DWH Platforms and understanding DWH concepts. Python or similar scripting languages Experience with AWS Glue, Athena, or other AWS data services.Strong SQL skills, AWS QuickSight

Position Overview: We seek a highly skilled and experienced Data Engineering Lead to join our team. This role demands deep technical expertise in Apache Spark, Hive, Trino (formerly Presto), Python, AWS Glue, and the broader AWS ecosystem. The ideal candidate will possess strong hands-on skills and the ability to design and implement scalable data solutions, optimise performance, and lead a high-performing team to deliver data-driven insights. Key Responsibilities: Technical Leadership Lead and mentor a team of data engineers, fostering best practices in coding, design, and delivery. Drive the adoption of modern data engineering frameworks, tools, and methodologies to ensure high-quality and...

AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Big Data - Big Data - Pyspark Beh - Communication Database - Database Programming - SQL.

Essential Skills/Basic Qualifications: More than 8 years of total experience in managing environments and DevOps tools. Knowledge and proven experience in one of the scripting languages (preferably PowerShell, Python, Bash). Knowledge and strong practical experience with CI/CD pipelines - Git, GitLab, deployment tools , Nexus, JIRA, TeamCity/ Jenkins , Infrastructure-as-a-Code ( Chef, or alternatives ) Good knowledge of Unix systems and basic understanding of Windows servers Experience in troubleshooting Database issues. Knowledge of middleware tools like Solace, MQ Experience with Agile (Scrum) methodology and software development approach Excellent Analytical skills Great interpersonal and...

Data marts using AWS services (Redshift, Aurora, RDS), Data modelling (Star schema, Snowflake),Perf tuning (compression, materialised views), Architecting scalable data warehouses using AWS Redshift, Athena,Glue, Batch analytics using Kinesis, Lambda

As a Senior Architect - Data & Cloud at our company, you will be responsible for architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets. You will need to have more than 15 years of experience in Technical, Solutioning, and Analytical roles, with 5+ years specifically in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration, and Business Intelligence/Artificial Intelligence solutions on Cloud platforms like GCP, AWS, or Azure. Key Responsibilities: - Translate business requirements into functional and non-functional areas, defining boundaries in terms of Ava...

Job Role: Asst Manager (Athena) Location: Bangalore Job Description: Athena Admin Athena Operations Manage athena

Why Join Us Are you inspired to grow your career at one of Indias Top 25 Best Workplaces in IT industry Do you want to do the best work of your life at one of the fastest growing IT services companies Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations Its happening right here at Iris Software. About Iris Software At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys top professionals to realize their full potential. With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial servi...

Introduction to the Role: Are you passionate about unlocking the power of data to drive innovation and transform business outcomes? Join our cutting-edge Data Engineering team and be a key player in delivering scalable, secure, and high-performing data solutions across the enterprise. As aData Engineer, you will play a central role in designing and developing modern data pipelines and platforms that support data-driven decision-making and AI-powered products. With a focus onPython,SQL,AWS,PySpark, andDatabricks, you'll enable the transformation of raw data into valuable insights by applying engineering best practices in a cloud-first environment. We are looking for a highly motivated profess...

About The Role Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : AWS Analytics Good to have skills : AWS Architecture Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Cloud Platform Engineer, you will engage in the design, construction, testing, and deployment of cloud application solutions that seamlessly integrate both cloud and non-clo...

6+ years of experience in Data Engineering or related role. Hands-on experience with Snowflake (data modelling, performance tuning, query optimization, Snowpipe, Time Travel, Streams & Tasks). Strong expertise in AWS Glue for ETL job development, orchestration, and optimization. Proficiency with AWS services such as S3, Lambda, Redshift, Athena, Step Functions, Kinesis , and CloudWatch . Strong programming skills in Python and/or PySpark . Knowledge of SQL and experience with performance tuning for large datasets. Experience with data warehouse and data lake architectures. Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation). Preferred Qualifications:...

Role Overview: As a Principal Architect - Data & Cloud at Quantiphi, you will be responsible for leveraging your extensive experience in technical, solutioning, and analytical roles to architect and design end-to-end data pipelines and data integration solutions for structured and unstructured data sources and targets. You will play a crucial role in building and managing data lakes, data warehouses, data integration, and business intelligence/artificial intelligence solutions on Cloud platforms like GCP, AWS, and Azure. Your expertise will be instrumental in designing scalable data warehouse solutions on Big Query or Redshift and working with various data integration, storage, and pipeline ...

As a Managed Services CloudOps for IoT projects in the Smart Products & IoT Strategic Innovation Centre in India team at Pentair, your role involves supporting managed services and application/product operations for IoT projects. **Role Overview:** You will be responsible for applying best practices and strategies for product application and infrastructure maintenance. Your duties will include knowledge and purpose of various environments, understanding Git and AWS Code Commit, following hotfix and sequential configuration processes, managing cloud environments in accordance with company security guidelines, proactive monitoring of AWS services, alert configurations, managing cloud environme...

AWS data developers with 6-10 years experience certified candidates (AWS data engineer associate or AWS solution architect) are preferred Skills required - SQL, AWS Glue, PySpark, Air Flow, CDK, Red shift Good communication skills and can deliver independently Mandatory Competencies Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift Big Data - Big Data - Pyspark Beh - Communication Database - Database Programming - SQL

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore). Exp: 10-14 years Location: Bengaluru Work Mode: Hybrid (2-3 days office in a week) Job Description: 10-14 Years of in Big Data & Data related technology experience Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on programming with Python Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming Experience w...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired bya collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizationsunlock the value of technology and build a more sustainable, more inclusive world. Your Role As a senior software engineer with Capgemini, you should have 4 + years of experience in AWS Data Engineer with strong project track record In this role you will play a key role in AWS S3, Glue, API Gateway, Crawler, Athena, , Lambda, Dynamic DB, Redshift is an advantage Experience/knowledge...

Responsibilties: AWS Cloud Dev Engineer having experience working on Dev platform Design and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3. CDK scripting/hands on dev exp. with services like Fargate, Redshift, Glue, Airflow, Athena etc.,/Angular/Node.js/SQL/Stored Proc/Python Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes. Create and manage applications using Python, SQL, Databricks, and various AWS technologies. Automate repetitive tasks and build reusable frameworks to improve efficiency. Skill Proficiency Level expected AWS Cloud Data Engineer - AWS Glue, Amazon Redshift, S3 ETL Proc...

Experience : 6-12 Years Timing: Candidate must be ready to work till 11 PM Location : Chennai / Bangalore/ Kochi The customer is looking for a Business Intelligence Analyst who have experience in creating and generating reports. And the skills they are looking for AWS + SQL + DBT + Looker or any other BI Reporting Tool. As a Senior Data Analyst, you will oversee the entire lifecycle of data analysis projects for the customer data platform, including designing, developing, and implementing complex analytical models to extract actionable insights from large datasets. You will be working independently and collaborating with various business leaders to support key business outcomes. The ideal ca...

Role Responsibilities Contact insurance companies to resolve denials, underpayments, and delayed claims Perform accurate follow-ups and work on appeals, refiling, and denial management Maintain quality and productivity standards in accordance with client expectations Communicate effectively to resolve billing issues and ensure timely reimbursements Key Deliverables Manage entire AR cycle, including denial resolution and payment follow-ups Ensure proper documentation of calls and claim status updates Meet daily/weekly productivity and quality benchmarks Coordinate with team leads and provide updates on claim statuses and escalations

As an EMR EHR Systems Specialist at our company, you will be responsible for utilizing your in-depth knowledge of systems like EPIC, Cerner, Athena, and various HIS modules such as Clinical Management, Patient Management, RCM, and patient engagement digital platforms. Key Responsibilities: - Utilize your working knowledge of Healthcare APIs and Integration with EMR modules - Implement experience in FHIR and healthcare interoperability standards - Demonstrate a strong understanding of value-based care, clinical workflows, and population health initiatives - Contribute to project experience in AI RPA based transformation for Healthcare Providers - Apply your strong analytical, problem-solving,...

Key Responsibilities Lead and mentor a team of data engineers, providing technical guidance, performance feedback, and career development. Architect, develop, and maintain scalable ETL/ELT pipelines using AWS services , PySpark , SQL , and Python . Drive the design and implementation of robust data models and data warehouses/lakes to support analytics and reporting. Ensure data quality, security, and governance across all stages of the data lifecycle. Collaborate with product and engineering teams to integrate data solutions into production environments. Optimize data workflows and performance across large, complex datasets. Manage stakeholder relationships and translate business needs into ...