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Technical Assistant

Location: Bengaluru ( Koramangala & Bommasandra)

About Us:

Rekise Marine is a startup focused on sustainably enhancing the utility of oceans through autonomous robotic infrastructure. Our efforts center on developing advanced autonomous technology for the maritime industry, serving both defense and commercial sectors globally. We specialize in creating autonomous vessels both surface and underwater as well as autonomous port infrastructure. Currently, we are building the flagship autonomous platform of the Indian Navy.

About the role:

We are currently seeking a talented individual with an ITI/Diploma or Engineering Degree in Mechanical/Electrical and having strong technical and administrative skills.  In this role, you'll play a crucial part in the development process of our unmanned marine vessels, ensuring highest performance and reliability standards. 

Key Responsibilities:

1. Provide technical support and assistance in product development and maintenance. 
2. Assist in testing, troubleshooting, and quality control.
3. Handle procurements and inventory management.
4. Perform administrative tasks such as filing and coordinating with our clients.
5. Maintain a clean/organised work environment, ensuring safety and efficiency.

Requirements:

1. ITI/Diploma or Engineering Degree in Mechanical/Electrical or related field.
2. Good understanding of basic mechanical principles.
3. Proficient in MS Office applications.
4. Willingness to learn and adapt to new technologies and processes.
5. Strong problem-solving skills and attention to detail.
6. Excellent communication and interpersonal skills.
7. Locals preferred with a minimum of one year experience or Freshers also welcome

Selection Procedure: CV shortlisting, Online assessment  and F2F Interview.

Strong Databricks / AWS Data Architect profile

Mandatory (Experience 1) – Must have minimum 5+ years of experience in Data Architecture / Data Engineering, with exposure in enterprise-scale data platform modernization initiatives

Mandatory (Experience 2) – Must have minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS, including large-scale data platform implementations

Mandatory (Experience 3) – Strong expertise in Databricks ecosystem including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables, and MLflow with focus on performance optimization and security

Mandatory (Experience 4) – Strong experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS, with strong understanding of cloud-native architecture patterns

Mandatory (Experience 5) – Proven experience designing and implementing Medallion (Bronze/Silver/Gold) architecture, scalable data models (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing

Mandatory (Experience 6) – Must have hands-on experience building scalable ingestion frameworks including batch, streaming, and CDC pipelines using tools like Kafka, Kinesis, Spark, or similar technologies

Mandatory (Skill 1) – Proven experience implementing CI/CD pipelines for data platforms, including infrastructure as code, automated deployments, and environment management

Mandatory (Skill 2) – Hands-on experience enabling data platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns

Mandatory (Skill 3) – Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI consumption

We are looking for a skilled and passionate Data Engineers with a strong foundation in Python programming and hands-on experience working with APIs, AWS cloud, and modern development practices. The ideal candidate will have a keen interest in building scalable backend systems and working with big data tools like PySpark.

Key Responsibilities:

• Write clean, scalable, and efficient Python code.
• Work with Python frameworks such as PySpark for data processing.
• Design, develop, update, and maintain APIs (RESTful).
• Deploy and manage code using GitHub CI/CD pipelines.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Work on AWS cloud services for application deployment and infrastructure.
• Basic database design and interaction with MySQL or DynamoDB.
• Debugging and troubleshooting application issues and performance bottlenecks.

Required Skills & Qualifications:

• 4+ years of hands-on experience with Python development.
• Proficient in Python basics with a strong problem-solving approach.
• Experience with AWS Cloud services (EC2, Lambda, S3, etc.).
• Good understanding of API development and integration.
• Knowledge of GitHub and CI/CD workflows.
• Experience in working with PySpark or similar big data frameworks.
• Basic knowledge of MySQL or DynamoDB.
• Excellent communication skills and a team-oriented mindset.

Nice to Have:

• Experience in containerization (Docker/Kubernetes).
• Familiarity with Agile/Scrum methodologies.

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.

Position: Java Developer

Experience: 3-8 Years

Location: Bengaluru

We are a multi-award-winning creative engineering company offering design and technology solutions on mobile, web and cloud platforms. We are looking for an enthusiastic and self-driven Test Engineer to join our team.

Roles and Responsibilities:

• Expert level Micro Web Services development skills using Java/J2EE/Spring
• Strong in SQL and noSQL databases (mySQL / MongoDB preferred)  Ability to develop software programs with best of design patterns , data Structures & algorithms
• Work in very challenging and high performance environment to clearly understand and provide state of the art solutions ( via design and code)
• Ability to debug complex applications and help in providing durable fixes
• While Java platform is primary, ability to understand, debug and work on other application platforms using Ruby on Rails and Python
• Responsible for delivering feature changes and functional additions that handle millions of requests per day while adhering to quality and schedule targets
• Extensive knowledge of at least 1 cloud platform (AWS, Microsoft Azure, GCP) preferably AWS.
• Strong unit testing skills for frontend and backend using any standard framework
• Exposure to application gateways and dockerized. microservices
• Good knowledge and experience with Agile, TDD or BDD methodologies

Desired Profile:

• Programing language – Java
• Framework – Spring Boot
• Good Knowledge of SQL & NoSQL DB
• AWS Cloud Knowledge
• Micro Service Architecture

Good to Have:

• Familiarity with Web Front End (Java Script/React)
• Familiarity with working in Internet of Things / Hardware integration
• Docker & Kubernetes  Serverless Architecture
• Working experience in Energy Company (Solar Panels + Battery)

• As an independent, self-motivated, and an avid technologist, you should have a strong interest in mobile and intuition for UX and consumer behaviour
• Up to date knowledge of Android (Jetpack and RxPatterns)
• Experienced in publishing and maintaining apps in play store
• Excellent Java programming skills
• Experienced in writing testable code & unit tests
• Experience with the Kotlin programming language a plus
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Familiarity with the use of additional sensors, such as gyroscopes, accelerometers, GPS
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines (JETPack, Rx patterns)
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration

We are looking for skilled iOS developers who are passionate about solving digital payment problems for over a billion Indians.

Requirements:

• At least 4 years of experience in developing, releasing, and maintaining iOS mobile applications.
• Ability to write efficient, reusable, and maintainable code in Swift.
• Excellent expertise in iOS SDK frameworks and fundamentals.
• Amazing debugging skills with the ability to write unit test cases Strong computer science fundamentals.
• Startup friendly i.e self-starter, quick learner, hard-working, and passionate.