Digital Marketing Executive

Job Title: Mid-Level Backend Engineer

Location: Remote

Type: Full-time or Project Basis

About Us:

At Tese, we are committed to advancing sustainability through innovative technology. Our platform helps SMEs and financial institutions manage their Environmental, Social, and Governance (ESG) goals using AI, IoT, and data-driven insights. We are looking for a skilled Backend Engineer with mid-level experience to join our dynamic team and contribute to building scalable, robust backend systems.

Role Overview:

As a Mid-Level Backend Engineer, you will be responsible for developing and maintaining backend services that power our core platform. You will work closely with our frontend developers, product team, and data scientists to implement solutions that are scalable, secure, and efficient. You will focus on building APIs, managing databases, and optimizing the performance of our services.

Key Responsibilities:

• API Development:
• Design, develop, and maintain RESTful APIs that serve our frontend applications and third-party integrations.
• Ensure high-performance and responsiveness of APIs, while following best practices for security and scalability.
• Database Management:
• Work with both NoSQL (MongoDB) , SQL (PostgreSQL, MySQL) and databases, ensuring efficient data storage and retrieval.
• Optimize database queries and manage migrations, ensuring data integrity and consistency across the platform.
• Microservices and Cloud Infrastructure:
• Develop microservices architecture using Docker and Kubernetes, ensuring that services are scalable and maintainable (Good to have).
• Work with cloud platforms (AWS, GCP, Azure) to deploy and manage backend services, ensuring high availability and fault tolerance.
• Collaboration and Documentation:
• Collaborate with frontend developers, data scientists, and product managers to gather requirements and develop backend solutions.
• Write clear, maintainable code with proper documentation, including technical designs, API specifications, and test cases.
• Performance and Security:
• Monitor backend services to ensure optimal performance, identifying bottlenecks and implementing improvements.
• Implement security best practices for APIs, databases, and backend systems, including authentication, authorization, and data encryption.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience: 3-5 years of experience in backend development, with a strong focus on building scalable and efficient systems.
• Technical Skills:
• Proficiency in backend programming languages such as Node.js, Python.
• Strong understanding of RESTful APIs.
• Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
• Familiarity with cloud platforms such as AWS, Google Cloud.
• Knowledge of CI/CD pipelines and version control (e.g., Git).
• Soft Skills:
• Strong problem-solving abilities and the capacity to work independently as well as in a collaborative environment.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• A strong passion for sustainability and a desire to contribute to impactful projects that drive positive environmental change.

Preferred Qualifications:

The following qualifications are bonus, but not strictly necessary:

• Experience with Docker and Kubernetes for containerisation and orchestration (Good to have).
• Experience working with microservices architecture.
• Knowledge of ESG (Environmental, Social, and Governance) metrics and sustainability (Good to have).
• Familiarity with serverless architectures and API gateways.

Benefits:

• Competitive salary and benefits package and performance bonuses.
• Flexible working hours and remote work options.
• Opportunity to work on cutting-edge technology with a focus on sustainability.
• Professional development opportunities, including access to conferences and training.

How to Apply:

Interested candidates should submit their CV and a cover letter detailing their experience and passion for backend development and sustainability here.

Join Us:

Be a part of a forward-thinking team that is making a real difference in the world. At Tese, you'll have the opportunity to innovate, grow, and contribute to a more sustainable future through technology.

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.

We are looking for a DevOps Lead to join our team.

Responsibilities

• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment

Operations (Ops)

• Identity manual processes and automate them using various DevOps automation tools

• Maintain the organization’s growing cloud infrastructure

• Monitor and maintain DevOps environment stability

• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues

• Orchestrating builds and test setups using Docker and Kubernetes.

• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability

• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences

Requirements

• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.

• Candidate should have experience in ELK stack, Kubernetes, and Docker.

• Solid experience in the AWS environment.

• Should have experience in monitoring tools like DataDog or Newrelic.

• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.

• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.

• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.

• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.

• Candidates should demonstrate knowledge in handling distributed data systems.

Examples: Elastisearch, Cassandra, Hadoop, and others.

• Should have experience in GitLab- CIRoles and Responsibilities

Asia's largest Crypto Publisher CoinGape Media is looking for an experienced and ambitious Sales Executive who will be responsible for selling advertising spaces to clients from the Web3 space.

Responsibilities:

• Contacting the advertisers or potential clients to generate the lead.
• Sending advertising proposals and closing the sales deal with direct advertisers & agencies.
• Come up with new ideas for seasonal sales.
• Updating media kits and preparing customized marketing packages.
• Preparing sample advertisements for clients.
• Build, manage, and scale a revenue pipeline with advertisers & agencies and maintain a threshold of Sales revenue on a monthly basis.
• Building and sustaining long-lasting relationships with existing and potential clients.
• Meeting the sales target.

Must have:

• Needs to have strong contacts and relationships in the industry across clients and agencies like ad networks, direct media buyers, crypto exchanges, wallets, Coins, etc.
• In-depth understanding of Branded Content Sales, Online Display Ads, Banner selling, and Sponsored ads.
• Knowledge of different communication modes like Email, Telegram, and discord.
• Prior experience in selling Branded content, native advertising, and display ads in media houses.
• Attention to detail — in everything. Champions ad space, properties, and campaigns internally to help drive revenue further.
• Ability to independently implement the sales plan.
• Sound knowledge of marketing principles and techniques.
• Excellent organizational and analytical skills.
• Established network and contacts with Digital & traditional media Agencies
• Must be aware of terms like CPM, CPC, Display Selling

Site: https://coingape.com

Benefits at CoinGape:

• Working in a cutting-edge field of Crypto & Blockchain.
• Huge responsibilities from Day 1.
• Be the owner of your own learning curve.
• The possibilities are limitless and depend on you. You get to work in a very dynamic environment.

The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have the ability to test code in order to maintain high-quality code.

NET Developer Responsibilities:

• Utilizing Microsoft's .NET infrastructure to create software solutions that meet clients' requirements.
• Collaborating with coworkers to facilitate the creation of large, complex developments, as required.
• Reformulating existing code to ensure adherence to stipulated guidelines.
• Check your code to detect and remedy errors and omissions.
• Testing your outputs to ensure that they are in excellent working order.
• Ensuring that outputs are visually appealing, user-friendly, and engaging.
• Deploying developments and monitoring uptake by the target audience.
• Using clients' feedback to inform the creation of subsequent versions of each development.

Skills: Microsoft. Net, Win forms, LINQ, Entity Framework, Integrating REST Ful APIs, SQL

Good to have: ElectronJs, Electron. Net

• Identify bad code practices in PHP and write new rules to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in PHP.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with PHP best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.