Data base developer

Immediate Hiring: GCP DevOps Engineer | Mumbai & Bengaluru (On-site)

OpsTree Global is urgently hiring a GCP DevOps Engineer with 4–9 years of experience for immediate requirements in Mumbai and Bengaluru.

Key Skills

• Google Cloud Platform (GCP)
• Terraform / Infrastructure as Code (IaC)
• Kubernetes & Helm Charts
• CI/CD – Jenkins, GitLab CI, GitHub Actions
• Linux Administration
• Scripting – Python / Go / Java
• 
  

Role Responsibilities

• Build and manage scalable cloud infrastructure on GCP
• Automate deployments and infrastructure provisioning
• Ensure system reliability, monitoring, and performance optimization
• Collaborate with development and operations teams for seamless delivery

📍 Locations: Mumbai & Bengaluru (On-site)

⚡ Immediate Joiners Preferred

💼 Experience: 4–9 Years

We are looking for a skilled and detail-oriented Accountant  with 2-8yrs years of hands-on experience CA Firm in Bookkeeping, GST and TDS return filings, income tax return (ITR) preparation, audit support, and ROC compliance. The ideal candidate should possess a strong understanding of accounting principles and regulatory requirements.

Key Responsibilities:

• Maintain accurate records of daily financial transactions (bookkeeping).
• Prepare and file GST returns (GSTR-1, GSTR-3B, etc.) on a monthly/quarterly basis.
• Prepare and file TDS returns (Form 24Q, 26Q, etc.) and ensure timely payments.
• Assist in the preparation and filing of income tax returns (ITR) for individuals and businesses.
• Support statutory and internal audits, including preparation of audit schedules and documentation.
• Handle ROC compliance, including the preparation and filing of necessary forms and returns.
• Coordinate with auditors, consultants, and tax authorities when required.
• Reconcile bank statements, vendor payments, and ledgers on a regular basis.
• Ensure compliance with all applicable accounting standards, taxation laws, and regulatory requirements.

Requirements:

• Bachelor’s degree in commerce, Accounting, or a related field (B. Com/M. Com).
• 2–8yrs experience in CA firm or Company.
• Proficiency in accounting software such as Tally, Compu Tax, and MS Excel.
• Solid knowledge of GST, TDS, ITR processes, and ROC filings.
• Strong attention to detail, organizational skills, and ability to meet deadlines.
• Strong attention to detail and communication skills.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

This role is responsible for designing scalable, user-friendly

solutions using native Salesforce capabilities, reducing custom technical debt, and enabling a

unified associate experience across resident services and call center teams.

Key Responsibilities:

● Own the end-to-end migration strategy from Classic to Lightning.

● Redesign data model (replace custom objects with standard Lead/Opportunity where

applicable).

● Configure Lightning features: Dynamic Forms, Lightning Pages, Flows, Omni-Channel.

● Recommend and implement AppExchange solutions where needed.

● Collaborate with developers, admins, and QA to deliver incremental releases.

● Ensure compliance with security, profiles, and permission sets.

● Act as the trusted advisor to stakeholders for Salesforce roadmap planning.

Qualifications:

● 6+ years Salesforce experience, with at least 3+ in Lightning implementations.

● Expertise in Service Cloud, Marketing Cloud, case management, and digital engagement.

● Proven experience with Classic-to-Lightning migration projects.

● Strong understanding of low-code/no-code capabilities (Flows, Dynamic Actions).

● Salesforce Certified Application/Solution Architect (preferred).

● Excellent communication and stakeholder management skills.

Job Description: Senior Full-Stack Engineer (MERN + Python )

Location: Noida (Onsite)

Experience: 5 to 10 years

We are hiring a Senior Full-Stack Engineer with proven expertise in MERN technologies and Python backend frameworks to deliver scalable, efficient, and maintainable software solutions. You will design and build web applications and microservices, leveraging FastAPI and advanced asynchronous programming techniques to ensure high performance and reliability.

Key Responsibilities:

• Develop and maintain web applications using the MERN stack alongside Python backend microservices.
• Build efficient and scalable APIs with Python frameworks like FastAPI and Flask, utilizing AsyncIO, multithreading, and multiprocessing for optimal performance.
• Lead architecture and technical decisions spanning both MERN frontend and Python microservices backend.
• Collaborate with UX/UI designers to create intuitive and responsive user interfaces.
• Mentor junior developers and conduct code reviews to ensure adherence to best practices.
• Manage and optimize databases such as MongoDB and PostgreSQL for application and microservices needs.
• Deploy, monitor, and maintain applications and microservices on AWS cloud infrastructure (EC2, Lambda, S3, RDS).
• Implement CI/CD pipelines to automate integration and deployment processes.
• Participate in Agile development practices including sprint planning and retrospectives.
• Ensure application scalability, security, and performance across frontend and backend systems.
• Design cloud-native microservices architectures focused on high availability and fault tolerance.

Required Skills and Experience:

• Strong hands-on experience with the MERN stack: MongoDB, Express.js, React.js, Node.js.
• Proven Python backend development expertise with FastAPI and Flask.
• Deep understanding of asynchronous programming using AsyncIO, multithreading, and multiprocessing.
• Experience designing and developing microservices and RESTful/GraphQL APIs.
• Skilled in database design and optimization for MongoDB and PostgreSQL.
• Familiar with AWS services such as EC2, Lambda, S3, and RDS.
• Experience with Git, CI/CD tools, and automated testing/deployment workflows.
• Ability to lead teams, mentor developers, and make key technical decisions.
• Strong problem-solving, debugging, and communication skills.
• Comfortable working in Agile environments and collaborating cross-functionally.

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.

MERN Stack Developer

2.5+ YEARS

Roles and Responsibility

Working experience as a MERN Stack Developer.

Design, code and manage large scale services using cutting edge technologies (NodeJs, ReactJS/AngularJS/VueJs etc).

In-depth knowledge of NodeJS.

Creating secure RESTful-based web services in XML or JSON.

Good knowledge in ECMAScript(6/7/8) is essential.

Strong fundamentals in Data Structures and Algorithms.

Experience implementing applications using Angular or React.

Should have an working experience with state management, React Hooks, React Fragments etc.

Should have a good Knowledge of Redux, Flux, and Webpack.

Writing the test case for components.

Experience working with Docker, Redis, MySQL, MongoDB.

Comfortable taking challenges and learning new technologies.

Excellent communication skills and client-facing experience.

Ability to mentor and build the team.

Knowledge of code versioning tools such as Git, Bitbucket or SVN.

Knowledge of the following will be considered as an advantage

Experience with Socket.IO for Real time communications.

Consumer Web Development Experience for High-Traffic, Public Facing web applications.

Caching with Redis For Speedy Performance.

Experience with cloud message APIs.

Knowledge of GraphQL, PostgreSQL.

Knowledge of NextJs.

Knowledge of any frameworks of NodeJS.

Experience with Progressive Web applications.

Knowledge of SSR.

Tech9 India is looking for a mid-senior software engineer who is an expert with Nodejs and MongoDB.  This is a great opportunity to work with a company that has a primary focus of making our customers happy by delivering value, without all the burdensome policies and rules that have become typical for outsourced software development companies.

If you are looking for a change this is what we can promise you:

• You will have challenging problems to solve
• You will have flexibility and autonomy to solve problems and deliver solutions
• We will provide a highly collaborative environment with skilled and super friendly teammates
• We will fully support you in developing software the right way
• We won't burden you with useless policies and procedures
• We will provide you the tools you need to do your job right

If this sounds attractive please apply! We'd love to talk to you!

Responsibilities:

• Work with cross-functional teams, using agile practices, write, debug and deliver code
• Produce solid, thoroughly tested features

Requirements:

• Mid level roles require at least 3 years of experience in Nodejs senior roles require at least 4 years of experience with Node.
• At least 3 years of experience developing in HTML and CSS
• Strong verbal and written communication skills
• Experience working with product managers and scrum teams to effectively translate business requirements into workflows 
• Demonstrated ability to remove problems and overcome roadblocks
• Cloud platform experience 
• Hands-on experience with APIs, microservices
• Multiple years of experience delivery solutions through an Agile delivery methodology
• Ability to understand complex systems and solve challenging analytical problems
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources
• Strong problem solving skills and critical thinking ability

You would possess experience building web applications using MVC frameworks (Reactjs, Redux) in a service-oriented environment.

• In-depth experience in object oriented Javascript.
• Excellent knowledge of professional software engineering practices and best practices for the full Software Development Lifecycle, including coding standards, code reviews, source control management, build processes, testing and operations.
• Proficiency to code in front-end technologies such as Javascript/HTML/CSS.