SAS Admin - Belapur (Navi Mumbai)

• Excellent communication and interpersonal skills
• Presentable personality and ability to handle clients confidently
• Open to stretch and working in a start-up/ed-tech environment
• Immediate joining required
• Age: Below 32 years

Benefits to Highlight for Candidates:

• Be part of a fast-growing ed-tech company with a positive and unique culture (refer to our LinkedIn, Glassdoor, and website for more details).
• Attractive incentive structure based on performance.
• No field sales (door-to-door). Leads are provided to counselors to connect with clients.
• Significant career growth opportunities, with high performers moving into team management roles within 1-2 years.
• Flexibility for relocation to other offices (Bangalore, Delhi, Hyderabad, Chennai) based on tenure and performance.

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Job Description:

We are seeking a skilled Embedded Firmware Engineer with expertise in RTOS, embedded C/C++, Python, and IoT protocols. In this role, you will be responsible for developing and optimizing embedded firmware for 16-bit and 32-bit microcontrollers, focusing on board bring-up, testing, and debugging.

Key Responsibilities:

• Develop embedded firmware using embedded C/C++, Python, and data structures.
• Utilize RTOS, preferably Zephyr or FreeRTOS, for real-time embedded applications.
• Implement low-level embedded software design and development for microcontroller-based systems.
• Configure and integrate communication interfaces such as I2C, SPI, RS232/485, USB.
• Incorporate industrial protocols like Ethernet, Modbus, and REST into firmware designs.
• Hands-on experience with MQTT, HTTP, BLE, Wi-Fi, and web server technologies.
• Collaborate using GitHub and JIRA, following Agile/SAFe methodologies.

Required Skills:

• Proficient in embedded C/C++ programming and Python scripting.
• Strong understanding of RTOS, preferably with experience in Zephyr or FreeRTOS.
• Demonstrated knowledge of embedded firmware development for 16-bit / 32-bit microcontrollers (STM32, ESP32).
• Experience with communication interfaces including I2C, SPI, RS232/485, and USB.
• Familiarity with industrial protocols such as Ethernet, Modbus, and REST.
• Hands-on experience with IoT protocols including MQTT, HTTP, BLE, and Wi-Fi.
• Proficient use of GitHub and JIRA for version control and project management.
• Strong problem-solving skills and ability to troubleshoot embedded systems issues.

Qualifications:

• Bachelor's degree in Electrical Engineering, Computer Science, or related field.
• Proven experience in embedded firmware development and board bring-up.
• Excellent communication skills and ability to work in a collaborative team environment.

Join us in developing cutting-edge embedded firmware solutions for IoT applications and microcontroller-based systems!

1. 5-7 years hands-on working experience in Java / Spring / Spring Cloud / Spring Data JPA / Spring Boot Microservices
2. Data processing capability
3. Hands-on working experience with GCP/AWS/Azure
4. Hands-on working experience with Junit, Git, Jenkins, Maven
5. Excellent communication skill
6. Experience on Google cloud data flow would be an added advantage

Java, SpringBoot, Problem Solving skill, Apache Beam, AWS/GCP,

Technical Knowledge (Must Have)

• Strong experience in SQL / HiveQL/ AWS Athena,
• Strong expertise in the development of data pipelines (snaplogic is preferred).
• Design, Development, Deployment and administration of data processing applications.
• Good Exposure towards AWS and Azure Cloud computing environments.
• Knowledge around BigData, AWS Cloud Architecture, Best practices, Securities, Governance, Metadata Management, Data Quality etc.
• Data extraction through various firm sources (RDBMS, Unstructured Data Sources) and load to datalake with all best practices.
• Knowledge in Python
• Good knowledge in NoSQL technologies (Neo4J/ MongoDB)
• Experience/knowledge in SnapLogic (ETL Technologies)
• Working knowledge on Unix (AIX, Linux), shell scripting
• Experience/knowledge in Data Modeling. Database Development
• Experience/knowledge creation of reports and dashboards in Tableau/ PowerBI

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Build pixel-perfect, buttery smooth UIs across both mobile platforms.
• Leverage native APIs for deep integrations with both platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Reach out to the open source community to encourage and help implement mission-critical software fixes—React Native moves fast and often breaks things.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Transition existing React web apps to React Native.

Tatsam is a stealth mode, venture-backed mental healthcare company based in India. We're redesigning mental health and wellness experiences for the modern day working professional, have raised angel round from top-tier investors, and signed some of the largest Indian enterprises and startups for the upcoming private beta launch… and we’re just getting started.

The startup is led by a team of CXOs who are serial entrepreneurs (YC alumni, IIT alumni, CXO in large enterprises). They are supported by a team of behavioral design experts, clinicians and counsellors with vast experience, and technologists on a mission to improve mental health and wellbeing for the modern day working professional.

The Role - Account manager
As the account manager, you’ll be responsible for building relationships with and upselling to some of the best known Indian and eventually global brands.

*Your core areas of ownership would be - *

• Nurturing the qualified leads: Once the opportunities are qualified, you will help the Chief sales officer to guide the leads through our sales process, which will involve a mix of in person, video call and telephone activities.
• Collaboration with client SPOCs: Create close working relationships with clients on the ground and engage with the SPOC on a frequent basis
• Project manage the delivery
• Keep the NPS high
• Proactively identify bottlenecks in end-user experience and think of ways to resolve them

You have:

• Proven ability to engage with service side client professionals (department heads as well as CXOs)
• Experience of managing large scale account activities with large enterprises with multiple stakeholders as well as promoter-driven organisations
• Masterful communication skills, both verbal and written
• Ability to forge and build relationships at a senior level - crossing multiple sectors and geographies.
• Public speaking experience: Commanding an audience of 1 or 50, both in person and over video conference

*Brownie points for being: *

• A growth-oriented, curious person interested to understand the science of mental health and wellbeing, our value proposition and the competitor landscape.
• A genuine and empathetic person. Brownie points if you have battled with any kind mental or large wellbeing issues - diagnosed or undiagnosed in the past

The Opportunity
You will enter a close group of exceptionally talented people who in the last 2-months have secured incredible investors, partners, clients and advocates. We will continue this momentum till our vision of being able to provide good mental health and wellbeing avenues for the modern day professionals is achieved. If we like each other and agree to partner in this journey, this has the potential of resulting in a compounded career and mental growth for you.