ETL Extract Jobs in Chennai

About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.

Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZeneca s Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelor s degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within an IT capacity. High proficiency in Power BI, including DAX, Power Query, and the creation of complex data visualizations. Strong ETL (Extract, Transform, and Load) skills, with experience in tools such as SQL Server Integration Services (SSIS), Informatica, Talend, or similar. Experience using Power Automate to streamline repetitive processes. Experience with AWS S3 for data storage and integration. Solid understanding of databases and SQL. Ability to communicate at multiple levels within an organization and to confidently talk to and represent data sets. Skills and Capabilities Excellent analytical and problem-solving skills. Strong written and verbal communication skills along with the proven ability to present complex, technical information to both technical and non-technical audiences. Experience of autonomous working with direction and goal setting and ability to prioritize, re-schedule and adapt to changes in a dynamic environment. Be valued and respected for teamwork, integrity, and enablement. Desirable Skills/Experience Knowledge of cloud-based data warehousing solutions such as Azure Data Factory or AWS Glue. Familiarity with programming languages such as Python or R. Experience providing and delivering reports and metrics across multiple functions. Knowledge of presentation skills and styles. Experience in the pharmaceutical or healthcare industry. Experience of working in other IT disciplines and across a range of industries and sectors. Experience working in a global organization where stakeholders and team members are geographically dispersed. Qualification : Job Title: Cyber Security Reporting Analyst Career Level -D2 Introduction to role We are seeking a highly skilled and motivated Cyber Security Data Analyst to join our dynamic Cyber Security Risk & Reporting team. The successful candidate will have extensive experience in Power BI reporting, ETL (Extract, Transform, Load) processes, and AWS S3, and will be responsible for designing, developing, and maintaining our Cyber Security Reporting suite, enabling data-driven decision-making by our senior leaders. This role requires close collaboration with colleagues both within Cyber Security and IT functions across AstraZenecas Enterprise Services and Business Technology Groups (BTGs). Accountabilities Data Analysis: Perform data analysis to identify trends, patterns, and anomalies. Work with large datasets to extract meaningful information and provide recommendations. Collaborate with business units to understand their data needs and deliver solutions accordingly. ETL Processes: Design, develop, and maintain ETL workflows to extract data from various sources, transform it according to business requirements, and load it into target systems. Ensure data integrity and quality throughout the ETL process. Fix, communicate, and support resolution of any ETL-related issues. Aws s3: Apply AWS S3 for data storage and management. Ensure effective data transfer and integration between AWS S3 and other data systems. Handle and maintain data security and access controls in AWS S3. Power BI Reporting: Develop, design, and maintain interactive Power BI dashboards and reports. Create data visualizations that provide actionable insights to stakeholders. Optimize Power BI models for performance and usability. Collaboration and Communication: Work closely with data and process owners, and business stakeholders to evaluate reporting needs. Communicate findings and insights effectively through presentations and reports. Deliver training and support to users on Power BI and data analysis techniques. Essential Skills/Experience A Bachelors degree in Data Science, Computer Science, Information Technology, or a related field. 2 years+ experience as a Data Analyst or in a similar role within...

Role: Assistant Manager Data Science Location: Chennai, Tamil Nadu, India Experience: 6 8 Years Employment Type: Permanent, Full-Time About the Role We are hiring an experienced Assistant Manager Data Science to join our dynamic analytics team in Chennai. This role requires 6 8 years of hands-on experience in data science, applied analytics, machine learning (ML), and statistical modeling. The ideal candidate will have a strong analytical mindset, excellent problem-solving abilities, and the ability to transform data into strategic business insights. Key Responsibilities Design and develop machine learning models and data analytics frameworks to solve real-world business problems. Apply statistical techniques to analyze structured and unstructured data. Write complex and optimized SQL queries to manage and extract data from large datasets. Build insightful and interactive dashboards and visualizations using tools like Tableau. Collaborate with cross-functional stakeholders to understand requirements and deliver data-driven solutions. Translate business challenges into analytical problems and structure approaches for resolution. Keep up-to-date with the latest trends in data science, artificial intelligence (AI), ML, and data visualization. Required Skills & Qualifications 5+ years of experience in data science, applied analytics, or machine learning. Strong command of Advanced SQL and hands-on experience with large-scale datasets. Proficient in Python for ML and statistical analysis. Expertise in data visualization, preferably with Tableau. Solid understanding of statistical methods, predictive modeling, and data interpretation. Excellent communication and stakeholder management skills. Analytical, detail-oriented, and innovative approach to problem-solving. Work on impactful and high-visibility data science projects. Be part of a collaborative and forward-thinking analytics team. Gain exposure to cutting-edge technologies and business strategies. Competitive salary and benefits package.

Job Title: Data Engineer Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 to 4 years Job Description Blackstraw Technologies Pvt Ltd is seeking a skilled Data Engineer to join our dynamic team. You will play a crucial role in transforming raw data into actionable insights by designing and maintaining robust data pipelines and systems. Your work will ensure alignment between data infrastructure and business goals, helping to drive efficiency and scalability. You will leverage your analytical skills and proficiency in various programming languages to integrate, process, and optimize data from diverse sources. You will also collaborate closely with data scientists and end-users to support data-driven decision-making. Key Responsibilities Design, build, and integrate data pipelines from multiple sources for analytics and operational purposes. Perform data integration and troubleshoot production and development issues. Develop, automate, and optimize ETL pipelines and workflows. Work with big data technologies including Hive, Spark, and Hadoop; optimize performance for large-scale data processing. Write and maintain efficient Spark/PySpark or Spark/Scala programs. Utilize strong SQL skills for querying and database design. Develop shell scripts (Unix/Linux) to automate data processing tasks. Collaborate with data scientists and various business teams to understand and fulfill data needs. Maintain and deploy ETL code following Agile methodologies. Handle service delivery tickets and provide support related to ETL tools. Participate in root cause analysis and problem resolution for data pipeline issues. Required Skills & Qualifications Bachelor s degree in Computer Science, Information Technology, or related field; Master s degree is a plus. 2 to 4 years of hands-on experience in data engineering or related roles. Strong expertise in ETL development and data integration tools. Proficiency in Spark (PySpark or Scala), Hive, and Hadoop ecosystem. Advanced SQL skills and experience with relational database management systems (RDBMS). Experience with shell scripting in Unix/Linux environments. Familiarity with Java, Python, or Scala programming languages is desirable. Knowledge of Cloud platforms (Azure preferred) is a plus. In-depth understanding of Retail domain data and business processes is advantageous. Excellent analytical, organizational, and communication skills. Experience with Agile project management and teamwork. About Blackstraw Technologies Pvt Ltd Founded in 2015 and fully operational since 2018, Blackstraw Technologies is a global software products and services company specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Our AI platform accelerates data labeling, model training, and deployment across cloud and on-premise environments. Our 250+ member team boasts over 900 years of combined experience, focusing on areas such as computer vision, natural language processing, and deep learning annotation tools. We enable enterprises worldwide to rapidly adopt AI in a cost-effective, plug-and-play manner. Headquartered in Florida, USA, Blackstraw has operations across Canada, the USA, and India. Qualification : Bachelors degree in Computer Science, Information Technology, or related field. Masters degree is a plus.

Position: Senior Data Conversion Specialist Location: Chennai Department: Publishing Services Job Type: Full-time Industry: E-Publishing About Us At Kriyadocs , we ve partnered with prestigious publishing houses around the world for over 15 years, delivering world-class digital and print content. By leveraging cutting-edge technology, streamlined processes, and deep domain expertise, we simplify publishing workflows from authoring to distribution. Our peer review and production platforms are complemented by services like copyediting, typesetting, and project & author management. Our mission is to create outstanding experiences for authors, publishers, and employees through innovation and technology, helping bring authors work to life and share it with the world. We re driven by a passion for customer-first solutions, and we empower our team to take on challenges, exchange knowledge, and enrich processes across the publishing ecosystem. What It s Like to Work Here We re a fast-growing team of smart, enthusiastic individuals with a can-do attitude. We believe in: Customer-First: We put our customers at the heart of everything we do. Continuous Learning: We embrace innovation and encourage growth. Collaboration: We work as a team, solving challenges together. If you're looking for a place where you can make a real impact, come join us! Role Overview We re looking for an experienced Senior Data Conversion Specialist to join our dynamic team. You ll be responsible for converting content into various formats, ensuring high-quality deliverables while adhering to tight deadlines. Your role involves working with XML, digital technologies, and conversion tools, while collaborating with internal teams and clients to resolve issues and meet project goals. Key Responsibilities Meet daily benchmarks and ensure timely project delivery. Ensure there are no escalations or complaints from internal or external stakeholders. Maintain accurate project records and documentation. Communicate product-related issues with detailed information and improvement suggestions. Use appropriate tools to ensure the quality of delivered content. Deliver final files to clients on specified platforms in a timely manner. Adhere to client Service Level Agreements (SLAs). Evaluate and onboard freelancers/vendors as needed. Study and understand client requirements, create instruction documents, and produce conversion samples. Analyze customer requirements to define tool requirements and document for automation. Work independently or in a team to meet tight deadlines. Skills & Experience Strong knowledge of XML, including both book and journal XML formats. Hands-on experience working with DTD, MathML, and XML editors (Epsilon, XML Exchanger, Oxygen XML, Notepad++, etc.). Familiarity with digital technologies such as XPath, XSLT, Schema, and ePub. Experience with third-party deliverables like PubMed, PMC, Ingenta, HighWire, Atypon, and Crossref. Excellent communication, problem-solving, and analytical skills. Strong attention to detail, ability to maintain quality under pressure, and a proactive learning attitude. Eligibility Criteria Role: Senior Data Conversion Specialist Location: Chennai Experience: 5+ years of related experience in data conversion or a similar field. Qualification: Bachelor's degree preferred. Equivalent years of experience may be considered in lieu of a degree. Qualification : Bachelor's degree preferred

Operations IT Data Technologist About Dow At Dow, we put people first and are committed to integrity, respect, and safety for our employees, customers, and the planet. We are a diverse community of relentless problem-solvers who thrive on collaboration, innovation, and the pursuit of a sustainable future. By leveraging science and technology, we help transform industries and shape the world we live in. If you're looking for a meaningful and challenging role, you're in the right place. About the Role As an Operations IT Data Technologist, you will play a key role in data management and system optimization within manufacturing facilities. You will lead and support projects, manage SAP Master Data Configuration, and ensure alignment across global operations. This role requires a strong understanding of maintenance and operations, along with expertise in SAP, data analytics, and IT systems. Responsibilities Manage and optimize master data, including the global Maintenance, Repair, and Operating (MRO) supplies catalog and SAP configurations. Ensure data alignment across global manufacturing sites. Lead projects involving data transfer (e.g., moving data to a tenant in case of divestiture). Analyze and improve data processes, utilizing methodologies such as data mining, statistics, visualization, optimization, and simulation. Facilitate collaboration between site maintenance, production leaders, and business end users to drive continuous improvement. Provide expertise in Operations ITOT, ensuring system effectiveness, training, troubleshooting, and targeted improvements. Align global priorities within a defined business process area to maximize value. Qualifications Bachelor s degree in Engineering, Manufacturing, or a related field. 10+ years of experience in maintenance, operations, or IT-related roles in a manufacturing environment. Strong leadership and facilitation skills to drive improvement initiatives. Skills & Technical Expertise SAP BO Data Services (BODS) SAP HANA / LSMW SAP Information Steward Mass data loads in SAP Tableau for data visualization Fluency in English and experience working in a global environment Additional Information Relocation assistance is not available for this position. Flexibility to work across international time zones may be required. Total Rewards & Benefits Competitive Salary & Bonus Equitable and market-competitive pay with performance-based incentives. Career Growth Extensive learning, mentoring, and development opportunities. Retirement & Financial Planning Savings plans, employee stock purchase programs, and financial education resources. Health & Wellbeing Robust medical, life insurance, and mental health support. Flexible Work Culture Role-based flexibility for work-life balance. Parental Leave & Family Support Paid leave for new parents and caregivers. Time Off & Volunteer Programs Paid vacation, volunteering opportunities, and Employee Resource Groups (ERGs). On-Site Fitness & Discounts Gym memberships, shopping discounts, and travel insurance (location-dependent). About Dow India Dow Chemical International Pvt. Ltd. (Dow India) is a leader in sustainable materials science. With 1,000+ employees, our manufacturing sites, innovation centers, and commercial offices drive advancements in packaging, infrastructure, automotive, and consumer care. We are Great Place to Work Certified and actively support Corporate Social Responsibility (CSR) initiatives that empower women, children, and differently-abled individuals through technology and employee volunteerism. Join Our Team & Make an Impact! At Dow, diversity is our strength, and we are committed to equal opportunities for all. If you need any accommodations during the application or interview process, please let us know. Apply now and be part of a global team shaping the future through science and innovation!

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

We are seeking a highly experienced Senior Big Data Software Engineer to join our dynamic team and tackle challenging projects that will enhance your skills and career. As a Senior Engineer, your contributions will be critical in designing and implementing Big Data solutions across a variety of projects. The ideal candidate will possess deep experience in Big Data and associated technologies, with a strong emphasis on Apache Spark, Python, Azure and AWS. Technologies Hadoop Hive Responsibilities Develop and execute end-to-end Big Data solutions to meet complex business needs Work collaboratively with interdisciplinary teams to comprehend project needs and deliver superior software solutions Apply your expertise in Apache Spark, Python, Azure and AWS to create scalable and efficient data processing systems Maintain and enhance the performance, security, and scalability of Big Data applications Keep abreast of industry trends and technological advancements to foster continuous improvement in our development practices Requirements 5-8 years of direct experience in Big Data and related technologies Advanced knowledge and hands-on experience with Apache Spark High-level proficiency with Hadoop and Hive Proficiency in Python Prior experience with AWS and Azure native Cloud data services We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : 5-8 years of direct experience in Big Data and related technologies

Position: Data Scientist Experience: 2+ Years Type: Full-time Location: Chennai About the Role As a Data Scientist at FinnUp, you will transform raw data into actionable insights that drive strategic decisions. You will work with complex datasets, build predictive models, and collaborate closely with cross-functional teams. Your expertise in analytics engineering, combined with your proficiency in Python especially pandas data frames and dictionaries will be critical in optimizing data workflows and delivering impactful results. Key Responsibilities Analyze large, complex datasets to extract meaningful insights that support business decision-making. Develop, implement, and maintain predictive models and machine learning algorithms to solve key business problems. Use pandas extensively for data manipulation, analysis, and visualization. Work closely with product, marketing, and business teams to understand requirements and provide data-driven solutions. Design and implement scalable data pipelines and ELT processes to ensure data integrity and accuracy. Create insightful dashboards and reports using Metabase to communicate findings to stakeholders. Stay current with the latest trends, tools, and advancements in data science, AI, and analytics engineering. Required Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, or related field. 2-3 years of experience as a Data Scientist or in a similar analytical role. Strong proficiency in Python with deep experience in pandas, dictionaries, and other core data structures. Experience with data visualization tools, especially Metabase. Solid understanding of statistical analysis and machine learning methods. Ability to write efficient SQL queries for data extraction and manipulation. Excellent problem-solving skills with high attention to detail. Strong communication and collaboration skills. Preferred Qualifications Hands-on experience building and deploying machine learning models in production environments. Familiarity with cloud platforms such as AWS or Google Cloud. Knowledge of additional programming languages like R or Julia. Experience with other data visualization tools and libraries. Competitive salary and benefits package. Opportunities for professional growth and skill development. A collaborative, innovative, and supportive work environment. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field

Designation: DevOps Engineer Location: Chennai Experience: 3-5 Years Qualification: Any Degree Employment Type: Full-Time Role Overview We are seeking a highly skilled DevOps Engineer with deep expertise in AWS cloud infrastructure, large-scale application deployment, database optimization, and ETL/OLAP workloads. The ideal candidate will design, deploy, and manage scalable, secure, and high-performing web applications, collaborating closely with project heads, development teams, and stakeholders to align infrastructure solutions with business objectives. Key Responsibilities Architect, build, and manage scalable cloud infrastructure on AWS supporting large-scale applications. Deploy, optimize, and maintain Magento applications with a focus on performance and security. Implement load balancing and traffic distribution strategies to ensure application scalability. Manage AWS compute services: EC2, Lambda, ECS, EKS, and Fargate for containerized workloads. Administer AWS database services, including RDS (MySQL, PostgreSQL, Oracle HeatWave), DynamoDB, Redshift, and Aurora for efficient data management. Optimize ETL pipelines and OLAP workloads using AWS Glue, Data Pipeline, Step Functions, and Athena. Implement caching solutions via Redis, Memcached, and AWS ElastiCache to boost application speed. Manage CDN with AWS CloudFront for seamless content delivery. Monitor system and application performance using New Relic, AWS CloudWatch, Prometheus, and Grafana. Configure and secure networking with AWS VPC, Route 53, API Gateway, and AWS WAF. Automate deployment, scaling, and infrastructure management using CI/CD pipelines and Infrastructure as Code tools such as Terraform and AWS CloudFormation. Enforce security best practices including IAM roles, security groups, firewalls, and encryption. Troubleshoot and proactively resolve system failures and performance issues. Required Skills & Qualifications 3-5 years of hands-on experience in DevOps, Cloud Engineering, or System Administration roles. Strong expertise with AWS services, including: Compute: EC2, Lambda, ECS, EKS, Fargate Databases: RDS (MySQL, PostgreSQL, Oracle HeatWave), Redshift, Aurora Networking: VPC, Route 53, API Gateway, AWS WAF Storage: S3, EFS, FSx, Glacier ETL & OLAP: AWS Glue, Data Pipeline, Athena, Step Functions Monitoring: New Relic, CloudWatch, Prometheus, Grafana Experience managing large-scale applications ensuring high availability and performance. Proficiency in caching technologies: Redis, Memcached, AWS ElastiCache. Strong understanding of CDN technologies like AWS CloudFront. Skilled in infrastructure automation with Terraform, CloudFormation, and CI/CD pipelines. Proficient in scripting languages such as Bash, Python, and Terraform for automation tasks. Ability to independently manage end-to-end cloud infrastructure. Preferred Qualifications Experience deploying and optimizing Magento applications. Familiarity with microservices architecture and serverless computing. Knowledge of cost optimization strategies and cloud resource management. Experience with multi-region deployments and disaster recovery planning. Exposure to other cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure is a plus. Qualification : Any Degree

Job Title: Data Scientist Company: Blackstraw.ai Job Location: Chennai (Work from Office) Job Type: Full-time Experience: 2 10 Years Job Summary: We are looking for Data Scientists to analyze large amounts of raw information to find patterns that will help improve our clients business. We will rely on you to build data products to extract valuable business insights. You will be part of our AI team in developing AI based products through the latest cutting edge technology. Key Responsibilities: Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Communicate your findings to the appropriate teams through visualisations Collaborate and communicate findings to diverse stakeholders Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering, Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization. Follow/maintain an agile methodology for delivering on project milestones. Excellent oral, presentation, and written communication skills. Preferred Qualifications: Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts. Minimum of 3+ years of experience in a related position, as a data scientist building predictive analytics or NLP or CV solutions for various types of business problems. Working knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like Tensorflow, Pytorch, PySpark. Programming background and expertise in building models using at least one of the following languages: Python, R, C, C++, Spark, Scala. Good knowledge in the implementation of deep learning models for image classification, Document classification models, object detection, logo detection. Self-motivated and driven to deliver agreed results on-time. Company Profile: Conceptualized as far back as 2015, and commencing full-time operations in 2018, Blackstraw technologies Pvt Ltd. is a software products and services company specializing in Artificial Intelligence (AI) and Machine Learning solutions for various industries. We support businesses around the world, including North America, Europe and Asia, working to simplify AI implementation through our platform that expedites data labelling, AI model-training, and cloud or on-premise deployments. With more than 900 years of combined work-experience, the 250+-strong Blackstraw Team comprises various experts in the AI value chain. We are a fast-moving team that prides ourselves in rapidly identifying different use-cases and fine-tuning our products to suit specific business needs. We are focused on providing solutions related to computer vision, natural language processing, Data annotation tools for deep learning models, etc. To stay competitive in business, it is key for organizations to adopt and implement smart AI solutions and service offerings. However, most companies are unable to implement AI rapidly due to the complexity of existing solutions, inadequate data and cost implications. Our mission is to enable enterprises to adopt AI in an easier, cost-effective and time-efficient manner with a plug-and-play approach to their data. Blackstraw operations are based out of Canada, USA & India. Our head office is based in Florida. Qualification : Bachelors in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with ability to break complex business problems down to smaller more solvable parts.

QA Testing Lead (ETL Testing) Role Overview We are seeking an experienced QA Testing Lead with expertise in ETL testing to ensure the accuracy, integrity, and performance of data processes. The ideal candidate should have team-handling experience, strong communication skills, and a solid understanding of data warehouse concepts. This role requires close collaboration with onshore and offshore teams to coordinate test strategies, perform data validations, and ensure seamless ETL testing execution. Key Responsibilities Test Strategy & Execution Review business requirements and prepare comprehensive test plans. Develop and execute ETL test cases, test scripts, and test plans. Perform data validations, reconciliations, and integrity checks. Ensure accurate data transformations, mappings, and loading processes. ETL Testing Expertise Conduct various types of ETL testing, including: Metadata Testing Data Completeness Testing Data Accuracy Testing Data Transformation Testing Data Quality Testing Initial/Incremental Load Testing Run SQL queries to verify data consistency between source and target systems. Work on dimensional modeling concepts (star schemas, snowflakes, dimensions, and facts). Team Coordination & Collaboration Lead onshore-offshore testing teams and ensure smooth project execution. Collaborate with data architects, developers, and business teams. Coordinate with stakeholders to provide timely status updates and solutions. Process Improvement & Reporting Ensure testing best practices, including automation where applicable. Prepare test reports, defect tracking, and performance analysis. Proactively identify, troubleshoot, and resolve testing challenges. Required Qualifications & Skills Technical Expertise: ETL testing experience in large-scale enterprise projects. Strong SQL skills for data validation and reconciliation. Hands-on experience in ETL tools (Informatica, Talend, DataStage, etc.). Familiarity with data warehousing concepts and dimensional modeling. Leadership & Coordination: Proven team-handling skills in an onshore-offshore model. Strong communication and stakeholder management abilities. Ability to work independently and drive testing initiatives. Domain Knowledge (Preferred): Experience in eCommerce, online shopping, sales, or retail domain. Apply Now & Join a High-Impact QA Team!

Integration Engineer Location: Chennai Experience Required: 4 5 Years Domain: US Healthcare / RCM Role Overview: Architecting Healthcare Connectivity We are seeking a Integration Engineer to build and maintain the bridges between healthcare platforms, clearinghouses, and our in-house data engine. You will be responsible for ensuring seamless data flow across EMRs, PM systems, and clearinghouses, leveraging a mix of traditional EDI standards and modern API-driven automation to drive RCM efficiency. Technical Expertise & Required Skills Healthcare Interoperability & EDI: X12 EDI Transactions: Hands-on implementation of 837 (Claims), 835 (Remittance), 270/271 (Eligibility), and 276/277 (Claim Status). HL7 & Standards: Deep understanding of HL7 interfaces for real-time and batch healthcare data exchange. Clearinghouse Integration: Proven experience connecting healthcare systems with major clearinghouses and data platforms. Automation & Modern Development: Web Scraping: Proficiency in Node.js and Puppeteer.js for headless browser automation and complex data extraction. API & Web Services: Strong experience with REST and SOAP API integrations. Cloud Environment: Familiarity with Google Cloud Platform (GCP), specifically App Engine, Cloud Functions, and Pub/Sub. Data Architecture: Solid understanding of NoSQL databases and data transformation pipelines. Key Responsibilities Design & Development: Architect seamless integrations between internal data engines and third-party healthcare applications. Compliance Management: Ensure all data exchanges strictly adhere to HIPAA standards and healthcare security protocols. Cross-functional Collaboration: Partner with Data Science and Automation teams to deploy and monitor integrations in GCP environments. System Optimization: Proactively troubleshoot and enhance integration performance for maximum scalability and reliability. Legacy Support: (Preferred) Work with PHP (Laravel) applications where necessary to maintain existing integration logic. What Makes You a Great Fit 4 5 years of specialized experience in the US Healthcare RCM domain. The ability to handle "non-standard" data extraction through automation workflows when traditional APIs are unavailable. Excellent debugging skills for complex, multi-party data pipelines. A collaborative mindset focused on creating high-impact, innovative healthcare technology solutions.

Technical Lead Location: Chennai About the Team Join our dynamic Central R&D team at CVS, driving innovation in product digitalization and vehicle intelligence. We develop advanced solutions for truck, bus, and trailer OEMs, addressing both onboard systems and offboard cloud-based platforms (SaaS & PaaS). Our mission focuses on: Connecting vehicles Ensuring cybersecurity Mastering vehicle architecture Diagnosing vehicles Extracting actionable intelligence Role Overview As a Technical Lead, you will design, develop, and deploy scalable, cloud-native applications leveraging AWS Serverless technologies and container orchestration. You will architect and maintain RESTful APIs and microservices, ensuring robust, maintainable software solutions. Collaboration, innovation, and technical leadership are core to this role. Key Responsibilities Architect and build scalable applications using AWS Serverless services such as Lambda, API Gateway, DynamoDB, and container platforms like ECS, EKS, and Fargate. Develop and maintain RESTful APIs and microservices with .NET Core and Entity Framework. Write clean, maintainable, and efficient code in Node.js, JavaScript, C#, React JS, or React Native. Design data models for SQL and NoSQL databases to optimize application performance. Apply Object-Oriented Analysis and Design principles to software development. Implement multi-threading and messaging patterns to build resilient distributed systems. Collaborate in an Agile environment using Git for version control. Participate in code reviews, architecture discussions, and drive continuous improvement initiatives. Candidate Profile Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Minimum 6+ years of hands-on experience in software development. Strong expertise in AWS cloud technologies and cloud-native application design. Proficient in one or more: Node.js, JavaScript, C#, React (JS/Native). Experience with REST APIs, microservices architectures, and distributed systems. Familiarity with software design patterns, messaging systems, and scalable architecture. Excellent problem-solving skills with a passion for delivering optimized business solutions. Innovation & Technology Leadership: Work at the cutting edge of technology in an environment that fosters creativity and growth. Diverse & Inclusive Culture: Thrive in a workplace that values diversity, equity, and collaboration. Career Development: Access structured training, career advancement paths, and global project exposure. Global Presence: Collaborate with international teams on state-of-the-art driveline and chassis technology projects. Sustainability Focus: Contribute to eco-friendly innovations and sustainable business practices. Employee Well-being: Benefit from health programs, flexible work arrangements, and supportive work-life balance. Join Us Take the lead in shaping the future of mobility with ZF. Apply now for the role of Technical Lead and be part of our innovative journey! Our Commitment to Diversity, Equity & Inclusion (DEI) At ZF, we are committed to fostering an inclusive culture where diversity is celebrated. We remove barriers so every employee can achieve their full potential. This vision guides how we operate, innovate, and shape the future of mobility. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Role Title: AT-GTEL, Chennai Line: Scientist (Chem Analytical) Global Job levels Job Family Group: Research and Development Job Family: 093- Chemistry-Analytical Job Category: Research Job Level: R01 - Associate Scientist Job Code: 600061 Management Level: J040 (04B) Why Patients Need You Pfizer s purpose is to deliver breakthroughs that change patients lives. Research and Development is at the heart of fulfilling Pfizer s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. Accountability: Responsible for Analytical Method development, Method Validation (for E&L workflow support is preferred), Method transfer, Routine analytical and stability study support for API, Intermediates and different DP formulations with the guidance and mentorship by senior chemist or supervisor. What You Will Achieve As a Scientist, you will be at the center of our operations and you ll find that everything we do, every day, is in line with an unwavering commitment to quality. With your deep knowledge in the discipline, you will be an active team member who influences at the project team level. You will perform qualitative and quantitative analyses of organic, inorganic compounds, or biologics to determine chemical and physical properties during chemical syntheses, fermentation or drug product development process. You will be using your scientific judgment to adapt standard methods and techniques by applying prior work experience and consulting others. Your ability to plan will help in preparing short-term work activities on projects. Your creativity in developing novel processes and new ideas will be used frequently. You will undertake mentoring activities to guide your team members. It is your hard work and focus that will help in making Pfizer ready to achieve new milestones and help patients across the globe. Responsibilities: He should adhere both quality and safety compliance according to organizational policies/procedures and regulatory guidelines. Responsible for development analytical methods and analytical method validation by UPLC, HPLC, GC, for API, DP, Intermediate and Raw materials. Working on E&L workflow is preferred. Test According to International Standards: Extractables & Leachables assessments for finished packaging: EMA, US-FDA, USP , , recommendations of PQRI Migrations-/simulated use studies Leachables shelf-life studies (GMP/cGMP studies) Should be conversant with the below analytical Techniques Headspace coupled to gas chromatography with mass spectral detection (HS-GC/MS) Gas chromatography with a mass spectral detection (GC/MS) Liquid chromatography with a diode array detection combined with mass spectral detection (HPLC-UV/MS) Liquid chromatography with multiple order mass spectral detection (LC/MS/MS) Inductively coupled plasma with optical emission detection (ICP-OES) and ICP-MS. UV/VIS Spectrophotometry Wet chemical methods: pH, TOC, conductivity, and others Other experiences: Ensure technical output is compliant with all Global Training Curricula for the instrument operations, material handling and certifications related to, Quality Ops, Manufacturing and EHS. Ensures compliance to local and corporate procedures and ensures all data packages are audit ready and transferable. Coordinate with cross functional teams to ensure timely execution and resolution of all deliverables versus target milestones. Requirements for all Global Job Levels Preferred Qualifications MSc/M Pharm/ Ph.D Preferred years of experience 2 to 4 years of Experience Experience with interdisciplinary drug development teams and industrial experience developing analytical strategies and methods in support of product and process development and to assess the quality and characteristics of biotherapeutics Experience working in a regulated environment, such as Good Laboratory Practices {part of GxP} Effective verbal and written communication skills Relationships: Small Molecule Technology Global Technology & Engineering Global Supply Chain Regulatory Sciences Global EHS Pharmaceutical Sciences Small Molecule Contract Research, Development and Manufacturing Organizations Academic Institutes Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Research and Development #LI-PFE Qualification : MSc/M Pharm/ Ph.D