EdGE Networks offers next gen HR Technology Solutions for talent acquisition and workforce optimization powered by Data Science and Artificial Intelligence.
Our client is a Gurgaon based software startup in Artificial Intelligence, Big Data and Data Science domain. Our clients, have built a data scientist, a virtual one. It's an Artificial Intelligence powered agent who can learn & work 24x7 to deliver business insights that matter the most. ● Working on a Unique concept ● Recognized by Indian Angel Network (IAN), the biggest network in India along with DIPP (Govt. Of India) and NASSCOM. ● Winner of $120K credits as part of Microsoft Bizspark Plus program ● Raised two professional rounds of funding ● Alumni of premier institutes (like IIT Bombay, IIT Delhi) on our advisory panel ● The current hiring is for the core team expansion. It will be under 10. I.e. candidate will be part of the core founding team and will get tremendous exposure. Core founding team focuses on invention and gets huge opportunities to file patents. ● Days: Monday to Saturdays ● One weekday off per month as per employee's choice. This is on top of earned/privilege leaves and bank holidays. ● Location: Gurgaon ● Line Management: Directly reporting to CxO Team Position: - Sr. Product Developer Job Description: Sr. Product Developer will be part of the client’s Lab. As a Sr. Product Developer, the candidate will be working very closely with Product Management, AI Research and Data Scientist team. Key responsibilities include, ● Design and Development of product in Big Data architecture and framework - Apache Spark, HDFS, Flume, Kafka with Scala/Java ● Development of Machine Learning Algorithms in Apache Spark framework ● Design and Development of integration connectors with external data sources like RDBMS (MySQL, Oracle etc.) and other products ● Lead, mentor and coach team members Skills ● 4+ Years of product development experience in Scala / Java ● Must possess in-depth knowledge of core design/architectural concerns like design patterns, performance, code re-usability and quality ● Should have good understanding of RDBMS and EA diagrams ● Experience on development (or upgrades) of Apache Spark libraries and contributions to Apache Spark or other open source frameworks is an added advantage ● Understanding on data security or statistics (like probability distribution etc.) is an added advantage ● Ability to take initiatives, self-motivated and a learning attitude is must. Experience & Qualification Required - B.Tech from Tier 1.5 (NIT/IIIT/DCE) with 4+ years of Experience
Looking for a technically sound and excellent trainer on big data technologies. Get an opportunity to become popular in the industry and get visibility. Host regular sessions on Big data related technologies and get paid to learn.
Sigmoid is a fast growing Product Based BIG DATA startup. Sequoia Funded & Backed by experienced Professionals & Advisors. Sigmoid is revolutionizing business intelligence and analytics by providing unified tools for historical and real time analysis on Apache Spark. With their suite of products, Sigmoid is democratizing streaming use-cases like RTB Data Analytics, Log Analytics, Fraud Detection, Sensor Data Analytics etc. Sigmoid can enable the customers’ engineering team to set up their infrastructure on Spark and ramp up their development timelines, or enable the analytics team to derive insights from their data. Sigmoid has created a real time exploratory analytics tool using on Apache SPARK which not only vastly improves performance but also reduces the cost. A user can quickly analyse huge volumes of data, filter through multiple dimensions, compare results across time periods and carry out root cause analysis in a matter of seconds. Leading organisations across industry verticals are currently using Sigmoid’s platform in production to create success stories. ------------------------------------ What Sigmoid offers you: Work in a well-funded (Sequoia Capital) Big Data company. Deal with Terabytes of data on a regular basis. Opportunity to contribute to top big data projects. Work on complex problems faced by leading global companies in multiple areas such as fraud detection, real-time analytics, pricing modeling and so on ------------------------------------------------------ We are looking for Someone who has: 6+ years of demonstrable experience designing technological solutions to complex data problems, developing efficient and scalable code. Experience in Design, Architecture, Development of Big Data Technologies. Provides Technical leadership in Big Data space (Apache Spark, Kafka, Flink, Hadoop, MapReduce, HDFS, Hive, HBase, Flume, Sqoop, NoSQL, Cassandra, HBase) Strong understanding of databases and SQL. Defines and Drives best practices in Big Data stack. Drives operational excellence through root cause analysis and continuous improvement for Big Data technologies and processes. Operating knowledge of cloud computing platforms (AWS and/ or Azure or Google Cloud). Mentors/coaches engineers to facilitate their development and provide technical leadership to them A technologist who Loves to code and design and have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. In addition, the ideal candidate would have great problem-solving skills, and the ability & confidence to hack their way out of tight corners. ------------------------------------ Preferred Qualifications: Engineering Bachelors/Masters in Computer Science/IT. Top Tier Colleges (IIT, NIT, IIIT, etc) will be preferred. Salary is not a constraint for the right talent.
Experience : Minimum of 3 years of relevant development experience Qualification : BS in Computer Science or equivalent Skills Required: • Server side developers with good server side development experience in Java AND/OR Python • Exposure to Data Platforms (Cassandra, Spark, Kafka) will be a plus • Interested in Machine Learning will be a plus • Good to great problem solving and communication skill • Ability to deliver in an extremely fast paced development environment • Ability to handle ambiguity • Should be a good team player Job Responsibilities : • Learn the technology area where you are going to work • Develop bug free, unit tested and well documented code as per requirements • Stringently adhere to delivery timelines • Provide mentoring support to Software Engineer AND/ OR Associate Software Engineers • Any other as specified by the reporting authority
candidate will be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Expected deliverables will include the development of Big Data ELT jobs using a mix of technologies, stitching together complex and seemingly unrelated data sets for mass consumption, and automating and scaling analytics into the GRAND's Data Lake. Key Responsibilities : - Create a GRAND Data Lake and Warehouse which pools all the data from different regions and stores of GRAND in GCC - Ensure Source Data Quality Measurement, enrichment and reporting of Data Quality - Manage All ETL and Data Model Update Routines - Integrate new data sources into DWH - Manage DWH Cloud (AWS/AZURE/Google) and Infrastructure Skills Needed : - Very strong in SQL. Demonstrated experience with RDBMS, Unix Shell scripting preferred (e.g., SQL, Postgres, Mongo DB etc) - Experience with UNIX and comfortable working with the shell (bash or KRON preferred) - Good understanding of Data warehousing concepts. Big data systems : Hadoop, NoSQL, HBase, HDFS, MapReduce - Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments. - Working with data delivery teams to set up new Hadoop users. This job includes setting up Linux users, setting up and testing HDFS, Hive, Pig and MapReduce access for the new users. - Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, and other tools. - Performance tuning of Hadoop clusters and Hadoop MapReduce routines. - Screen Hadoop cluster job performances and capacity planning - Monitor Hadoop cluster connectivity and security - File system management and monitoring. - HDFS support and maintenance. - Collaborating with application teams to install operating system and - Hadoop updates, patches, version upgrades when required. - Defines, develops, documents and maintains Hive based ETL mappings and scripts
www.aaknet.co.in/careers/careers-at-aaknet.html You are extra-ordinary, a rock-star, hardly found a place to leverage or challenge your potential, did not spot a sky rocketing opportunity yet? Come play with us – face the challenges we can throw at you, chances are you might be humiliated (positively); do not take it that seriously though! Please be informed, we rate CHARACTER, attitude high if not more than your great skills, experience and sharpness etc. :) Best wishes & regards, Team Aak!
Full Stack Developer for Big Data Practice. Will include everything from architecture to ETL to model building to visualization.
Bachelor’s or Master’s degree in computer science or software engineering; Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures. Ability to architect highly scalable distributed systems, using different open source tools. Experience building high-performance algorithms. Extensive knowledge of different programming or scripting languages such as Python,Scala Apache Spark Experience with different (NoSQL or RDBMS) databases such as MongoDB Google Big Query , Cassandra, Elastic Search,HBASE,Data Pipelines,IMPALA Experience building data processing systems with Hadoop and Hive using Python. Good Exposure on AWS Lamba, Kingsis, EMR,Redshift, Kafka,
Responsibilities Developing intelligent and scalable engineering solutions from scratch. Working on high/low-level product designs & roadmaps along with a team of ace developers. Building products using bleeding-edge technologies using Ruby on Rails. Building innovative products for customers in Cloud, DevOps, Analytics, AI/ML and lots more.