Hadoop Jobs in Mumbai

Who we are? Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud. What we believe? Best practices are overrated Implementing best practices can only make one n . Honesty and Transparency We believe in naked truth. We do what we tell and tell what we do. Client Partnership Client - Vendor relationship: No. We partner with clients instead.  And our sales team comprises of 100% of our clients. How we work? It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self motivated. Self governing teams. We own it. Responsibilities :  As a Data Architect, you work with business leads, analysts and data scientists to understand the business domain and manage data engineers to build data products that empower better decision making. You are passionate about data quality of our business metrics and flexibility of your solution that scales to respond to broader business questions. If you love to solve problems using your skills, then come join the Team Searce. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself. What You’ll Do Understand the business problem and translate these to data services and engineering outcomes Explore new technologies and learn new techniques to solve business problems creatively Collaborate with many teams - engineering and business, to build better data products Manage team and handle delivery of 2-3 projects  What We’re Looking For Over 4-7 years of experience with Hands-on experience of any one programming language (Python, Java, Scala) Understanding of SQL is must Big data (Hadoop, Hive, Yarn, Sqoop) MPP platforms (Spark, Presto) Data-pipeline & scheduler tool (Ozzie, Airflow, Nifi) Streaming engines (Kafka, Storm, Spark Streaming) Any Relational database or DW experience Any ETL tool experience Hands-on experience in pipeline design, ETL and application development Hands-on experience in cloud platforms like AWS, GCP etc. Good communication skills and strong analytical skills Experience in team handling and project delivery

Job Overview :Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.Responsibilities and Duties :- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutionsEducation level :- Bachelor's degree in Computer Science or equivalentExperience :- Minimum 3+ years relevant experience working on production grade projects experience in hands on, end to end software development- Expertise in application, data and infrastructure architecture disciplines- Expert designing data integrations using ETL and other data integration patterns- Advanced knowledge of architecture, design and business processes Proficiency in :- Modern programming languages like Java, Python, Scala- Big Data technologies Hadoop, Spark, HIVE, Kafka- Writing decently optimized SQL queries- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensionalmodeling, and Meta data modeling practices.- Experience generating physical data models and the associated DDL from logical data models.- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,and data rationalization artifacts.- Experience enforcing data modeling standards and procedures.- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goalsSkills :Must Know :- Core big-data concepts- Spark - PySpark/Scala- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)- Handling of various file formats- Cloud platform - AWS/Azure/GCP- Orchestration tool - Airflow

Job Overview :Your mission is to help lead team towards creating solutions that improve the way our business is run. Your knowledge of design, development, coding, testing and application programming will help your team raise their game, meeting your standards, as well as satisfying both business and functional requirements. Your expertise in various technology domains will be counted on to set strategic direction and solve complex and mission critical problems, internally and externally. Your quest to embracing leading-edge technologies and methodologies inspires your team to follow suit.Responsibilities and Duties :- As a Data Engineer you will be responsible for the development of data pipelines for numerous applications handling all kinds of data like structured, semi-structured &unstructured. Having big data knowledge specially in Spark & Hive is highly preferred.- Work in team and provide proactive technical oversight, advice development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutionsEducation level :- Bachelor's degree in Computer Science or equivalentExperience :- Minimum 5+ years relevant experience working on production grade projects experience in hands on, end to end software development- Expertise in application, data and infrastructure architecture disciplines- Expert designing data integrations using ETL and other data integration patterns- Advanced knowledge of architecture, design and business processes Proficiency in :- Modern programming languages like Java, Python, Scala- Big Data technologies Hadoop, Spark, HIVE, Kafka- Writing decently optimized SQL queries- Orchestration and deployment tools like Airflow & Jenkins for CI/CD (Optional)- Responsible for design and development of integration solutions with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions- Knowledge of system development lifecycle methodologies, such as waterfall and AGILE.- An understanding of data architecture and modeling practices and concepts including entity-relationship diagrams, normalization, abstraction, denormalization, dimensionalmodeling, and Meta data modeling practices.- Experience generating physical data models and the associated DDL from logical data models.- Experience developing data models for operational, transactional, and operational reporting, including the development of or interfacing with data analysis, data mapping,and data rationalization artifacts.- Experience enforcing data modeling standards and procedures.- Knowledge of web technologies, application programming languages, OLTP/OLAP technologies, data strategy disciplines, relational databases, data warehouse development and Big Data solutions.- Ability to work collaboratively in teams and develop meaningful relationships to achieve common goalsSkills :Must Know :- Core big-data concepts- Spark - PySpark/Scala- Data integration tool like Pentaho, Nifi, SSIS, etc (at least 1)- Handling of various file formats- Cloud platform - AWS/Azure/GCP- Orchestration tool - Airflow

Job Title: Technology Lead Responsibilities We are looking for a Technology Lead who can drive innovation and take ownership and deliver results. • Own one or more modules of the project under development • Conduct system wide requirement analysis. • Quality, on time delivery of agreed deliverables. • Mentor junior team members • Flexible in working under changing and different work settings. • Contribute to the company knowledge base and process improvements. • Participate in SDLC • Design and implement automated unit testing framework as required • Use best practices and coding standards. • Conduct peer reviews and lead reviews and provide feedback • Develop, maintain, troubleshoot, enhance and document components developed by self and others as per the requirements and detailed design Qualifications • Excellent programming experience of 5 to 10 years in Ruby and Ruby on Rails • Good understanding about Data Structures and Algorithms • Good understanding about relational and non-relational database concepts (MySQL, Hadoop, MongoDB) • Exposure to front-end technologies like HTML, CSS, Javascript as well as JS libraries/frameworks like JQuery, Angular, React etc. is a strong plus • Exposure to DevOps on AWS is a strong plus Compensation Best in the industry Job Location: Mumbai

Job Title: Software Developer – Big Data Responsibilities We are looking for a Big Data Developer who can drive innovation and take ownership and deliver results. • Understand business requirements from stakeholders • Build & own Mintifi Big Data applications • Be heavily involved in every step of the product development process, from ideation to implementation to release. • Design and build systems with automated instrumentation and monitoring • Write unit & integration tests • Collaborate with cross functional teams to validate and get feedback on the efficacy of results created by the big data applications. Use the feedback to improve the business logic • Proactive approach to turn ambiguous problem spaces into clear design solutions. Qualifications • Hands-on programming skills in Apache Spark using Java or Scala • Good understanding about Data Structures and Algorithms • Good understanding about relational and non-relational database concepts (MySQL, Hadoop, MongoDB) • Experience in Hadoop ecosystem components like YARN, Zookeeper would be a strong plus

About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.

Looking for Big data Developers in Mumbai Location

ABOUT US: Arque Capital is a FinTech startup working with AI in Finance in domains like Asset Management (Hedge Funds, ETFs and Structured Products), Robo Advisory, Bespoke Research, Alternate Brokerage, and other applications of Technology & Quantitative methods in Big Finance. PROFILE DESCRIPTION: 1. Get the "Tech" in order for the Hedge Fund - Help answer fundamentals of technology blocks to be used, choice of certain platform/tech over other, helping team visualize product with the available resources and assets 2. Build, manage, and validate a Tech Roadmap for our Products 3. Architecture Practices - At startups, the dynamics changes very fast. Making sure that best practices are defined and followed by team is very important. CTO’s may have to garbage guy and clean the code time to time. Making reviews on Code Quality is an important activity that CTO should follow. 4. Build progressive learning culture and establish predictable model of envisioning, designing and developing products 5. Product Innovation through Research and continuous improvement 6. Build out the Technological Infrastructure for the Hedge Fund 7. Hiring and building out the Technology team 8. Setting up and managing the entire IT infrastructure - Hardware as well as Cloud 9. Ensure company-wide security and IP protection REQUIREMENTS: Computer Science Engineer from Tier-I colleges only (IIT, IIIT, NIT, BITS, DHU, Anna University, MU) 5-10 years of relevant Technology experience (no infra or database persons) Expertise in Python and C++ (3+ years minimum) 2+ years experience of building and managing Big Data projects Experience with technical design & architecture (1+ years minimum) Experience with High performance computing - OPTIONAL Experience as a Tech Lead, IT Manager, Director, VP, or CTO 1+ year Experience managing Cloud computing infrastructure (Amazon AWS preferred) - OPTIONAL Ability to work in an unstructured environment Looking to work in a small, start-up type environment based out of Mumbai COMPENSATION: Co-Founder status and Equity partnership

Nextalytics is an offshore research, development and consulting company based in India that focuses on high quality and cost effective software development and data science solutions. At Nextalytics, we have developed a culture that encourages employees to be creative, innovative, and playful. We reward intelligence, dedication and out-of-the-box thinking; if you have these, Nextalytics will be the perfect launch pad for your dreams. Nextalytics is looking for smart, driven and energetic new team members.