8 Python Scripts Jobs

Role: Data Engineer Exp: 5 to 8 Years Location: Bangalore, Noida, and Hyderabad (Hybrid, weekly 2 Days office must) NP: Immediate to 15 Days (Try to find only immediate joiners) Note: Candidate must have experience in Python, Kafka Streams, Pyspark, and Azure Databricks. Not looking for candidates who have only Exp in Pyspark and not in Python. Job Title: SSE Kafka, Python, and Azure Databricks (Healthcare Data Project) Experience: 5 to 8 years Role Overview: We are looking for a highly skilled with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing . This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams. Key Responsibilities: Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks . Architect scalable data streaming and processing solutions to support healthcare data workflows. Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data. Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.). Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows . Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering . Stay updated with the latest cloud technologies, big data frameworks, and industry trends . Required Skills & Qualifications: 4+ years of experience in data engineering, with strong proficiency in Kafka and Python . Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. Experience with Azure Databricks (or willingness to learn and adopt it quickly). Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus) . Proficiency in SQL, NoSQL databases, and data modeling for big data processing. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications. Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. Strong analytical skills, problem-solving mindset, and ability to lead complex data projects. Excellent communication and stakeholder management skills. Email: Sam@hiresquad.in

Role: Data Engineer Exp: 5 to 8 Years Location: Bangalore, Noida, and Hyderabad (Hybrid, weekly 2 Days office must) NP: Immediate to 15 Days (Try to find only immediate joiners) Note: Candidate must have experience in Python, Kafka Streams, Pyspark, and Azure Databricks. Not looking for candidates who have only Exp in Pyspark and not in Python. Job Title: SSE Kafka, Python, and Azure Databricks (Healthcare Data Project) Experience: 5 to 8 years Role Overview: We are looking for a highly skilled with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing . This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams. Key Responsibilities: Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks . Architect scalable data streaming and processing solutions to support healthcare data workflows. Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data. Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.). Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions. Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows . Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering . Stay updated with the latest cloud technologies, big data frameworks, and industry trends . Required Skills & Qualifications: 4+ years of experience in data engineering, with strong proficiency in Kafka and Python . Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing. Experience with Azure Databricks (or willingness to learn and adopt it quickly). Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus) . Proficiency in SQL, NoSQL databases, and data modeling for big data processing. Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications. Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus. Strong analytical skills, problem-solving mindset, and ability to lead complex data projects. Excellent communication and stakeholder management skills. Email: Sam@hiresquad.in

1. Extract and transform data from Google BigQuery and other relevant data sources. 2. Utilize Python and libraries such as Pandas and NumPy to manipulate, clean, and analyze large datasets. 3. Develop and implement Python scripts to automate data extraction, processing, and analysis for comparison reports. 4. Design and execute queries in BigQuery to retrieve specific data sets required for comparison analysis.

Skills : Python Strong Automation, Python scripts for testing, Automation Tools, Automation Testing and medical, Python scripts, working with SCM tools like Git/ SVN Required Candidate profile Notice Period: 0- 30 days

Design, deploy, and manage AWS infrastructure using Terraform and Docker. Manage and optimize Kubernetes clusters in EKS to ensure smooth and efficient operations. Optimize and automate CI/CD pipelines with CircleCI and Python code linting tools. Collaborate with cross-functional teams using GitHub, Jira, and Confluence to streamline workflows and achieve project goals. Ensure robust security practices across all infrastructure, applications, and CI/CD pipelines. Leverage expertise in DataDog monitoring to track and improve system performance. Write and maintain strong shell scripts and Python scripts for automation and operational efficiency. Implement best practices for infrastructure and application monitoring, scaling, and disaster recovery. Location: Ahmedabad,Chennai,Pune,Indore

5+ Yrs.Harness is a must.Good Soft Skills. Foundational skill Network DNS, CICD, Jenkis and Harness, Terraform(with out we cannot move). They have tounderstand routing, networking works. They should understand containers and how it moves in Kubernetes. AWS EKS, Lambda function, ECS, Python scripts(good to know). GCP GKE, batch processing, API gateway, Secret management, Secure infra management, Postgre, SQL(Good to know). Support multiple applications

Staff / Senior Staff engineer - Systems Lead : Power & Performance (Embedded System) General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Bachelors/ Masters with 10+ years Systems Engineering or related work experience Educational Requirements Bachelor's/Masters/Doctorate degree in Engineering, Electronics & Communication Micro Electronics Information Systems, Computer Science, or related field.Individuals who possess skills/experience in one or more of the following are requested to apply: Preferred Qualifications: Areas of Expertise (the more the better): Working experience with Complex Embedded Systems, Mobile/IOT/Auto domains preferred. Expertise in fields such as power performance use cases , system modeling, SOC Profiling, PPA tradeoffs, post silicon bring up, and product qual. Firm grasp of computer architecture and OS fundamentals Post Silicon System Validation of SOC Performance, Architecture Analysis and Feedback to future products. Analyzing the power-performance data for various CPU, GPU, AI workloads benchmarks Conducting detailed workload characterization and sensitivity analysis Develop and enhance analysis tools and instrumentation to assist in analysis, identifying performance gaps and optimization options CPU microarchitecture including cache, Latency, BW analysis, etc. Linux/Android kernel development, device driver development and Android architecture experience Collaborate with the architecture team on power-performance trade-off analysis as part of product definition. Power and/or performance optimization, CPU, SOC SW DCVS/DVFS Governors exposure Working experience at System level, Linux kernel internals system programming Collaborate with internal teams and external partners for analysis and optimizations Lab Hands-on: with Power Data Acquisition/DAQs, Oscilloscope, JTAGs, ARM Developer Studio exposure Exposure to ADB shell, shell scripts, Python scripts, Understanding of Linux/android systems , automation scripts/environment Exposure to Git, Jira, Android and QTI tools Good communication skills, presentation skills and should manage his/her tasks independently Acts as a tech lead on projects and owns the outcome of the project. Advises multiple teams of engineers in the development of complex hardware designs, evaluating various design features to identify potential flaws or issues

RESPONSIBILITIES: Acquire expert level knowledge with solutions, products or services deployed for their respective customers. Independently & effectively respond to customer tickets/Partner queries/internal communications. Seamlessly work on data related to scheduled or unscheduled activities, take full responsibility by keeping all stakeholders informed. Strictly compliant with the tools/applications adoption, is conversant and do not take non-standard approach. Always recommend/insist best practices to follow within the team. Is familiar with all SLAs for customers, always on-time and accurate process & delivery like reports/feeds processing/feedout/ART etc. Available during non-business hours to work towards the resolution of Sev1 & Sev2 issues. Strongly reflects on e2open Principles, understands organizational goals and work towards achieving them. Independently work on complex customer queries/tickets and requests which requires deep diving into data to address, clear and crisp presentation of ideas and solutions. Be a SME, train and guide other team members on day today operational matters, liaison with cross functional teams on matters of customer delivery aspects, conduct team meetings independently. Capable of supporting multiple customer operations, participate actively discussions with CDSMs. Create wow factor leading to customer appreciations through excellent handling of queries requests etc. Support automation drive through well planned and structured UAT. Extend seamless back up support, effectively prioritize, execute tasks in timely manner to achieve all SLAs. Continuous review of all process steps and eliminate redundant manual touch points, identify legacy processes and initiate discussion with customer to eliminate such manual work. Efficient process document management, simplify processes and data handling. Demonstrate good analytical skills to slice and dice the data, always complete assigned training for the role well ahead of the timeline. Create metrics and advise customers on the trend and issues in the data and recommend, to make relevant changes, provide meaningful insights into data to the customers. Evaluate and conduct sessions on adopting new features, drive new platform features adoption within the team. Independent in supporting SCRs related changes, implement RPA and Python scripts to reduce manual work. QUALIFICATIONS AND EXPERIENCE: Graduate/Masters from premier institute. 1+ years of experience in data management and analytical field. Excellent soft skills, comprehension, articulation, communication (both written and verbal) skills essential. Flexible to work in different shift timings and is available at non-business hours to support critical requests or issues impacting organization and customer business or service. Outstanding analytics, troubleshooting, problem-solving skills, always thinking out of the box. Versatile working in a team with diverse thoughts and different dynamics. PHYSICAL REQUIREMENTS: General office environment and responsibilities requiring: Extensive use of the computer which involves viewing a monitor and keyboarding for most of the workday. Occasionally moving and lifting objects up to 20 pounds. Flexible to visit all office locations regularly at Bangalore.