Job Title: Associate Data Scientist Location: Mumbai Job Type: Full-time Experience: 0-6months About The Role We are seeking a highly motivated Associate Data Scientist with a strong passion for energy, technology, and data-driven decision-making. In this role, you will be responsible for developing and refining energy load forecasting models , analyzing customer demand patterns , and improving forecasting accuracy using advanced time series analysis and machine learning techniques . Your insights will directly support risk management, operational planning, and strategic decision-making across the company. If you thrive in a fast-paced, dynamic environment and enjoy solving complex data science challenges , we’d love to hear from you! Key Responsibilities Develop and enhance energy load forecasting models using time series forecasting, statistical modeling, and machine learning techniques. Analyze historical and real-time energy consumption data to identify trends and improve forecasting accuracy. Investigate discrepancies between forecasted and actual energy usage, providing actionable insights. Automate data pipelines and forecasting workflows to streamline processes across departments. Monitor day-over-day forecast variations and communicate key insights to stakeholders. Work closely with internal teams and external vendors to refine forecasting methodologies. Perform scenario analysis to assess seasonal patterns, anomalies, and market trends. Continuously optimize forecasting models, leveraging techniques like ARIMA, Prophet, LSTMs, and regression-based models. Qualifications & Skills 0-6months of experience in data science, preferably in energy load forecasting, demand prediction, or a related field. Strong expertise in time series analysis, forecasting algorithms, and statistical modeling. Proficiency in Python, with experience using libraries such as pandas, NumPy, scikit-learn, statsmodels, and TensorFlow/PyTorch. Experience working with SQL and handling large datasets. Hands-on experience with forecasting models like ARIMA, SARIMA, Prophet, LSTMs, XGBoost, and random forests. Familiarity with feature engineering, anomaly detection, and seasonality analysis. Strong analytical and problem-solving skills with a data-driven mindset. Excellent communication skills, with the ability to translate technical findings into business insights. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Strong attention to detail, time management, and organizational skills. Preferred Qualifications (Nice To Have) Experience working with energy market data, smart meter analytics, or grid forecasting. Knowledge of cloud platforms (AWS) for deploying forecasting models. Experience with big data technologies such as Spark or Hadoop. Show more Show less
Location : Mumbai Experience : 0-6months Technologies / Skills: Advanced SQL, Python and associated libraries like Pandas, Numpy etc., Pyspark , Shell scripting, Data Modelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and develop data engineering strategy. Ability to work with business owners to define key business requirements and convert to user stories with required technical specifications. Communicate results and business impacts of insight initiatives to key stakeholders to collaboratively solve business problems. Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. Assures quality, security and compliance requirements are met for supported area. Design and create fault-tolerance data pipelines running on cluster Excellent communication skills with the ability to influence client business and IT teams Should have design data engineering solutions end to end. Ability to come up with scalable and modular solutions Required Qualification 0-6months of hands-on experience Designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL in AWS cloud Experience in design and development of data pipelines and processing of data at scale. Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments Experience in debugging, tunning and optimizing PySpark data pipelines Should have implemented concepts and have good knowledge of Pyspark data frames, joins, caching, memory management, partitioning, parallelism etc. Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune the long running data pipelines. Experience working in Agile implementations Experience with building data pipelinesin streaming and batch mode. Experience with Git and CI/CD pipelines to deploy cloud applications Good knowledge of designing Hive tables with partitioning for performance. Desired Qualification Experience in data modelling Hands on creating workflows on any Scheduling Tool like Autosys, CA Workload Automation Proficiency in using SDKsfor interacting with native AWS services Strong understanding of concepts of ETL, ELT and data modeling. Show more Show less
Role: Sr Angular Developer Location: Mumbai Experience: 4yrs to 7yrs Technologies / Skills Angular, TypeScript Responsibilities Design and develop high-performing and responsive web applications using Angular best practices. Write clean and efficient TypeScript, CSS, and HTML codes. Connect with other team members, such as UX designers, project managers, and back-developers to deliver quality work. Analyze and resolve debugging issues in the application code to maintain the sustainability of the application. Proficiency in JavaScript, TypeScript, Angular, HTML, and CSS. Manage all code compliance with respect to the standards set by the company. Coordinate with the backend team to create, test and execute code that merges with live streams and API endpoints Create system configuration functions using a component-based architecture. Hands-on experience in developing modularized or template-based implementation. Perform product analysis and development tasks that may require extensive research and analysis. Conduct code reviews and provide constructive feedback to team members. Defines and documents business requirements for complex system development or testing Comfortable working with agile / scrum / kanban Willingness to join a distributed team operating across different time-zones Required Qualification for Sr Angular Developer Bachelor’s degree in IT, computer science, computer engineering, or similar Min. 4 years of Angular, TypeScript experience Practical knowledge of Angular 2+, and TypeScript Good understanding of UI/UX design principles Excellent Node.JS knowledge Problem-solving and analytical skills Have good knowledge of APIs, routing, . Strong knowledge of CSS, HTML, and writing cross-browser compatible code. Should be a team player and have strong attention to detail Excellent verbal and written communication skills Experience with CI/CD pipeline implementation using concourse/jenkins/git actions or any DevOps tool. Experience with version control systems (e.g., Git, Git actions) is a plus. Knowledge of AWS Cloud services, Terraform, Advance SQL, Python is a plus. Show more Show less
Role: Sr Python FastAPI Developer Location: Mumbai Experience: 4yrs to 7yrs Technologies / Skills Python (FastAPI), Advance SQL, Postgres, DynamoDB, Docker Responsibilities Build high-performance REST APIs & WebSockets to power web applications. Design, develop, and maintain scalable and efficient backend services using FastAPI for web applications. Coordinating with development teams to determine application requirements and integration points. Understanding of fundamental design principles behind a scalable application and writing scalable code. Implement security best practices to safeguard sensitive data and ensure compliance with privacy regulations. Own and manage all phases of the software development lifecycle planning, design, implementation, deployment, and support. Build reusable, high-quality code and libraries for future use that are high-performance and can be used across multiple projects. Conduct code reviews and provide constructive feedback to team members. Stay up-to-date with emerging technologies and trends in Python development and FastAPI framework. Ensuring the reliability and correctness of FastAPI applications using Pytest Defines and documents business requirements for complex system development or testing Comfortable working with agile / scrum / kanban Willingness to join a distributed team operating across different time-zones Required Qualification for Sr Python FastAPI Developer Bachelor’s degree in IT, computer science, computer engineering, or similar Min. 3+ years of experience in Python (FastAPI) development. Strong understanding of asynchronous programming and background tasks. Knowledge of Pydantic, CRON jobs scheduler, Swagger Ul for endpoints. Proficiency in database management systems.(e. g., DynamoDB, PostgreSQL). Familiarity with containerization technologies such as Docker. Excellent verbal and written communication skills Experience with version control systems (e.g., Git, Git actions) is a plus. Show more Show less
As a DevOps Engineer or AWS Cloud Engineer, you will be responsible for setting up AWS Infrastructure using Terraform Enterprise and Concourse (CI/CD) Pipeline. Your role will involve configuring and managing various tools and infrastructure components, with a focus on automation wherever possible. You will also be troubleshooting code issues, managing databases such as PostgreSQL, DynamoDB, and Glue, and working with different cloud services. Your responsibilities will include striving for continuous improvement by implementing continuous integration, continuous development, and constant deployment pipelines. Additionally, you will be involved in incident management and root cause analysis of AWS-related issues. To excel in this role, you should have a Master of Science degree in Computer Science, Computer Engineering, or a relevant field. You must have prior work experience as a DevOps Engineer or AWS Cloud Engineer, with a strong understanding of Terraform, Terraform Enterprise, and AWS infrastructure. Proficiency in AWS services, Python, PySpark, and Agile Methodology is essential. Experience working with databases such as PostgreSQL, DynamoDB, and Glue will be advantageous. If you are passionate about building scalable and reliable infrastructure on AWS, automating processes, and continuously improving systems, this role offers a challenging yet rewarding opportunity to contribute to the success of the organization.,
Responsibilities Act as a liaison between the Business and Development teams to ensure clear communication and alignment on project goals. Facilitate discussions to capture and document business and technical requirements. Translate business needs into well-defined User Stories, incorporating diagrams and technical specifications for the Dev team. Create and maintain clear and structured documentation to support communication across teams. Develop and execute test plans to validate requirements and ensure quality outcomes. Support backlog management, ensuring priority alignment between business needs and technical execution. Collaborate in analyzing workflows to identify and address technical and user experience gaps. Skills Strong analytical and problem-solving skills Excellent communication and interpersonal skills Knowledge of business processes and willingness to learn US property and auto insurance industry Proficiency in software documentation tools and methodologies Ability to work independently and collaboratively in a team environment Experience with Agile methodologies and product management Data analysis and visualization skills Familiarity with SaaS software systems and platforms Experience with greenfield development a plus
As a senior data consultant, you will serve as a trusted advisor and subject matter expert, utilizing data to drive actionable business insights. Your role involves leading client engagements, delivering high-quality data solutions, and collaborating with sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. In this position, you will lead strategic data consulting projects, working directly with clients to design and implement data-driven solutions. You will be responsible for developing and maintaining a library of accelerators, frameworks, and artifacts to support sales proposals and RFP responses. Additionally, you will collaborate with cross-functional teams to ensure successful client delivery and seamless handoffs between sales and project implementation. Key Skills / Technologies: Must-Have: - Data Analytics & Visualization (Tableau, Power BI, etc.) - Advanced SQL and data querying skills - Strong statistical and analytical expertise - Experience in data integration, cleansing, and modeling - Excellent communication and stakeholder management skills Good-to-Have: - Familiarity with programming languages (Python, R) for advanced analytics - Knowledge of data warehousing and big data platforms - Experience in a consulting or client-facing role - Familiarity with data governance and business intelligence frameworks Responsibilities: Client Consulting & Delivery: - Lead data analysis projects, define client requirements, and deliver actionable insights. - Design data models and visualizations to support strategic decision-making across various business areas. - Advise clients on data management and analytics best practices to optimize business processes. Sales & Pre-Sales Support: - Develop accelerators, consulting frameworks, and architectural artifacts for RFP responses and sales proposals. - Support sales team through client presentations, technical workshops, and pre-sales engagements. - Provide expert insights and technical recommendations aligning client needs with technology solutions. Collaboration & Mentoring: - Work closely with technical, sales, and delivery teams to ensure cohesive strategies and smooth client handoffs. - Mentor junior consultants and share best practices in data analysis and consulting methodologies. Required Qualifications: - Bachelors or Masters degree in Data Science, Business Analytics, Statistics, or related field. - 5+ years of experience in data consulting or analytics roles with client-facing responsibilities. - Demonstrated ability to develop data-driven solutions that enhance business performance. - Strong problem-solving and communication skills supporting both sales and client delivery. Why Join Us: - Contribute to transforming businesses through data on diverse, high-impact projects. - Drive sales success and ensure high-quality client delivery simultaneously. - Collaborate with a passionate team of experts, experiencing continuous professional growth in a dynamic environment with competitive benefits.,
Designation – Data Engineer (Engineer & Senior Engineer Level) Location: Remote (across India) Experience: 3 to 8 years Technologies / Skills Strong hands-on experience with AWS data engineering services (ETL, orchestration, and streaming tools. Proficiency in SQL, Python (Pandas, NumPy) and PySpark. Experience in ETL/ELT pipeline development, data modeling and working with large-scale data systems. Familiarity with CI/CD workflows, Git and version control practices. Responsibilities Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions. Design, build and maintain robust, secure, high-performance data pipelines Ensure adherence to data quality, governance and compliance standards Work with architects and engineering leads to follow best practices and optimize for performance Communicate insights and technical decisions effectively with cross-functional stakeholders Participate in Agile ceremonies and deliver iterative improvements in data infrastructure Required Qualifications 3+ years of hands-on experience with AWS data engineering services, including: AWS Glue, Athena, EMR, Redshift, Lambda, Kinesis, S3, Step Functions, CloudWatch. Expertise in building data pipelines using PySpark/Spark SQL. Strong SQL and Python skills with experience in large-scale data transformation and ingestion. Knowledge of Spark internals (joins, partitioning, memory management) and performance tuning via Spark UI. Experience with Git, CI/CD pipelines, and working in Agile environments. Understanding of partitioning, schema design, and query performance optimization. Desired Qualifications Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Exposure to streaming platforms such as Kafka, Kinesis etc . Working knowledge of AWS SDKs (e.g., Boto3) for automation and integration. Familiarity with modern ETL/ELT patterns and data modeling techniques. Basic proficiency in shell scripting for automation and support tasks.
As a Senior Software Engineer at Go Digital Technology Consulting LLP in Mumbai, you will be leveraging your 5+ years of experience in .NET technologies to design, develop, test, and maintain high-quality software solutions. You will play a crucial role in leading a team of 5-10 software engineers, providing technical guidance, and mentorship. Your responsibilities will include driving technical excellence, collaborating with architects and team leads, and ensuring consistency with the overall technical strategy. Your problem-solving skills will be put to the test as you address complex technical challenges and investigate issues reported in production, providing timely solutions. You will also be responsible for managing and mentoring a team of software engineers, fostering a collaborative and innovative team culture. Additionally, you will be part of the team handling IT emergencies and responding to system outages or security incidents. To excel in this role, you must have extensive front-end development experience, particularly in Angular or similar JavaScript frameworks. Your expertise in writing, optimizing, and debugging complex SQL queries will be essential for efficient data retrieval and manipulation. Proven leadership and management experience, along with strong problem-solving and analytical skills, are key requirements. Excellent communication and interpersonal skills, along with the ability to thrive in a fast-paced and dynamic work environment, will be valuable assets. It is mandatory for you to have a solid understanding of firewall, VPC, Azure Identity, and an excellent grasp of SQL Server for designing and optimizing complex queries. Being a quick learner who can adapt to new design patterns and technologies will be crucial for success in this role. Your contributions will assist in transforming vast amounts of data into valuable insights and information, helping our clients prosper and succeed in the data analytics field.,
Responsibilities Guide clients in prioritizing programs to maximize benefits by gettingof right mix of Scope, budget, timeline & Quality Support on planning, execution to the top think tank for keeping the best possible value add for client To think in the user's (Business process owner) shoes, so that product is aptly made for easy adaptability along with required features & to validate the finished product To steer the thought to the team in White boarding, Brainstorming (A person in the room who has an idea of Big picture) by orchestrating Sponsorship prioritization meeting Work along with top management to identify opportunities, plan them as programs by performing the following activity, Cost benefit Analysis of Programs (Financial Assessment) Make or buy analysis GAP Assessment of As-is Vs To-be Scope Analysis Timeline Analysis Impact of building products benefit & feature prioritization ROI of programs Budgeting of programs Derived Analysis Explain the same to development team, project sponsor & rest of stakeholders To validate & confirm if Digital transformation journey is on track with respect to benefits & strategic intent To lead a team of Program managers, Business analyst, technical & functional associates to perform the above responsibilities Skills / Experience Minimum of 7 years of operational business and/or consultancy experience, with a focus on business intelligence and analytics. Perform consulting engagements for with process owners in specific business domain (Example: Energy Sector). Responsibilities include understanding and documenting of business processes, analysis and capture of requirements and issues via workshops if required. Assessing as-is processes, doing gap analysis, creating to-be processes and making recommendations to implement changes. Experience in using Six Sigma, Lean and other methodologies to drive continuous process improvement in technology projects Manage large projects and programs in a multi-vendor scenario and globally spread team and deliver the outcome leveraging Agile principle and applying DevOps capabilities Leading a team of IT Project Managers. To guide the project managers and signoff if overall objectives of the project is met Support in implementing leading edge, organization-specific solutions, including development of business case, IT strategy development and tools/software considerations around Digital solutions Work closely with client IT teams and business personnel to uncover opportunities and draw actionable insights Conduct assessments of organizations Digital infra to understand their current operations, challenges, and opportunities and provide a clearcut road map for their Digital transformation Journey. Develop and present actionable recommendations and strategies to address organizational needs, ranging from operational optimization to strategic planning Collaborate with stakeholders to facilitate the implementation of recommended solutions, providing guidance, support, and training as needed Stay informed about industry trends, best practices, and emerging technologies to continuously enhance consulting services and deliver value Build and maintain strong relationships with stakeholders, serving as a trusted advisor and demonstrating a commitment to their success Contribute to the overall growth and success of the consulting practice by sharing knowledge, collaborating with team members, and actively participating in professional development activities Qualification Proven experience in business consulting or a relevant industry, with a track record of delivering results Strong analytical skills and the ability to interpret complex data to drive decision-making Excellent communication and presentation skills, with the ability to effectively convey ideas and recommendations to diverse audiences. Solid understanding of business principles, practices, and processes across multiple functional areas. Demonstrated project management skills, including the ability to manage multiple priorities and meet deadlines in a fast-paced environment. Strong interpersonal skills and the ability to build rapport and establish credibility with clients and internal stakeholders A bachelor's or Master's degree in Computer Science, Engineering, or a related field.
As a Senior Data Consultant at the company, you will serve as a trusted advisor and subject matter expert, utilizing data to drive actionable business insights. Your role involves leading client engagements, delivering high-quality data solutions, and collaborating with the sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. **Key Responsibilities:** - Lead strategic data consulting projects, collaborating directly with clients to design and implement data-driven solutions. - Develop and maintain a library of accelerators, frameworks, and artifacts to support sales proposals and RFP responses. - Collaborate with cross-functional teams to ensure successful client delivery and seamless handoffs between sales and project implementation. **Key Skills / Technologies:** **Must-Have:** - Data Analytics & Visualization (Tableau, Power BI, etc.) - Advanced SQL and data querying skills - Strong statistical and analytical expertise - Experience in data integration, cleansing, and modeling - Excellent communication and stakeholder management skills **Good-to-Have:** - Familiarity with programming languages (Python, R) for advanced analytics - Knowledge of data warehousing and big data platforms - Experience in a consulting or client-facing role - Familiarity with data governance and business intelligence frameworks In your role, you will be responsible for: - Leading data analysis projects and working directly with clients to define requirements and deliver actionable insights. - Designing data models and visualizations to support strategic decision-making across multiple business areas. - Advising clients on best practices for data management and analytics to optimize their business processes. Additionally, you will: - Create accelerators, consulting frameworks, and architectural artifacts for RFP responses and sales proposals. - Support the sales team through client presentations, technical workshops, and pre-sales engagements. - Provide expert insights and technical recommendations that align client needs with technology solutions. **Required Qualifications:** - Bachelors or Masters degree in Data Science, Business Analytics, Statistics, or a related field. - 5+ years of experience in data consulting or analytics roles with significant client-facing responsibilities. - Demonstrated ability to develop data-driven solutions that positively impact business performance. - Excellent problem-solving and communication skills, supporting both sales and client delivery. Join the team to: - Be at the forefront of transforming businesses through data with diverse, high-impact projects. - Play a dual role in driving sales success and ensuring high-quality client delivery. - Collaborate with a passionate team of experts and enjoy continuous professional growth in a dynamic environment with competitive benefits.,
Job Title: Python Data Engineer Location: Pune / Remote Experience Level: 3–8 years Role Overview We are looking for a Python-centric Data Engineer who can design and maintain scalable, high-performance data pipelines for large and complex datasets. The ideal candidate brings strong object-oriented Python programming skills, experience with distributed data systems (like Hadoop or Spark) and a mindset for building modular, reusable, and testable data solutions. While exposure to cloud technologies (AWS preferred) is valuable, this role emphasizes deep Python-based data engineering over platform administration. Roles & Responsibilities Design, develop, and optimize data ingestion and transformation pipelines using Python. Apply OOP principles to build modular, maintainable, and reusable data components. Work with distributed systems (e.g., Hadoop/Spark) for processing large-scale datasets. Develop and enforce data quality, testing, and validation frameworks. Collaborate with analysts, data scientists, and product teams to ensure data availability and reliability. Participate in code reviews, CI/CD workflows, and infrastructure automation to maintain high engineering standards. Contribute to ongoing evolution of data architecture and help integrate with cloud-based data ecosystems. Technical Skills Core Expertise Python Programming Strong grasp of object-oriented design, modular code practices, and design patterns. Experience with libraries/frameworks such as pandas, PySpark, dask, or custom ETL frameworks. Proficiency in writing unit-tested, well-documented, and scalable code (pytest, unittest). Data Engineering & Ecosystem Experience in building and maintaining ETL/ELT pipelines using Python. Exposure to Hadoop or Spark ecosystems for distributed data processing. Solid understanding of SQL and working with relational or analytical databases (e.g., PostgreSQL, Redshift). Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and Infrastructure as Code (Terraform). Basic exposure to AWS data services like S3, Lambda, Step Functions, Glue, or DynamoDB. Qualifications Bachelor’s or master’s degree in engineering or technology or related field. 3–6 years of hands-on experience in data engineering or backend development. Proven track record of Python-based pipeline development and distributed data processing. Strong foundation in data modeling, data quality, and pipeline orchestration concepts. Excellent problem-solving and communication skills, with an ownership-driven mindset. Desired Qualifications Experience with Apache Airflow, Luigi, or Prefect for workflow orchestration. Exposure to real-time data streaming (Kafka, Kinesis). Familiarity with containerization tools (Docker, Kubernetes). Knowledge of data governance, cataloguing and metadata management.
Job Title: Manual & Automation Tester Location: Mumbai Job Type: Full-time Experience: 3+ years About The Role We are looking for a skilled Manual & Automation Tester to join our QA team. You will be responsible for testing front-end applications developed using Angular 14+ and Vue.js , ensuring they meet high-quality standards through both manual and automated testing. This includes testing across desktop and mobile devices to validate responsiveness, usability, and performance. The ideal candidate has experience with modern front-end testing tools, strong attention to detail, and a solid understanding of JavaScript frameworks like Angular and Vue.js. Responsibilities Design, develop, and execute test cases for Angular 14+ and Vue.js applications. Perform both manual and automated testing, covering a range of devices including desktop browsers, tablets, and smartphones (iOS and Android). Test responsive UI behavior and performance across different screen sizes and operating systems. Identify, document, and track software defects and usability issues. Collaborate closely with developers and other QA team members to resolve bugs and enhance test coverage. Develop and maintain automation scripts for regression, functional, and end-to-end testing. Utilize tools and frameworks (e.g., BrowserStack, Appium, Cypress, Selenium) to validate cross-platform functionality. Ensure thorough test coverage for new and existing features across platforms. Continuously improve QA strategies, frameworks, and processes for web and mobile testing. Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in software testing, including manual and automation testing. Hands-on experience testing Angular (14+) and Vue.js applications. Proficiency with test automation tools like Cypress, Selenium, Playwright, Protractor, or similar. Experience with mobile testing tools such as Appium, BrowserStack, or real-device testing. Familiarity with RESTful APIs and tools like Postman for integration testing. Experience using version control systems (e.g., Git). Strong analytical and problem-solving skills with high attention to detail. Good understanding of responsive design principles and cross-platform compatibility. Knowledge of Agile methodologies and QA processes within Agile teams.
Job Title: Python Data Engineer Location: Pune / Remote Experience Level: 38 years Role Overview We are looking for a Python-centric Data Engineer who can design and maintain scalable, high-performance data pipelines for large and complex datasets. The ideal candidate brings strong object-oriented Python programming skills, experience with distributed data systems (like Hadoop or Spark) and a mindset for building modular, reusable, and testable data solutions. While exposure to cloud technologies (AWS preferred) is valuable, this role emphasizes deep Python-based data engineering over platform administration. Roles & Responsibilities Design, develop, and optimize data ingestion and transformation pipelines using Python. Apply OOP principles to build modular, maintainable, and reusable data components. Work with distributed systems (e.g., Hadoop/Spark) for processing large-scale datasets. Develop and enforce data quality, testing, and validation frameworks. Collaborate with analysts, data scientists, and product teams to ensure data availability and reliability. Participate in code reviews, CI/CD workflows, and infrastructure automation to maintain high engineering standards. Contribute to ongoing evolution of data architecture and help integrate with cloud-based data ecosystems. Technical Skills Core Expertise Python Programming Strong grasp of object-oriented design, modular code practices, and design patterns. Experience with libraries/frameworks such as pandas, PySpark, dask, or custom ETL frameworks. Proficiency in writing unit-tested, well-documented, and scalable code (pytest, unittest). Data Engineering & Ecosystem Experience in building and maintaining ETL/ELT pipelines using Python. Exposure to Hadoop or Spark ecosystems for distributed data processing. Solid understanding of SQL and working with relational or analytical databases (e.g., PostgreSQL, Redshift). Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) and Infrastructure as Code (Terraform). Basic exposure to AWS data services like S3, Lambda, Step Functions, Glue, or DynamoDB. Qualifications Bachelor's or master's degree in engineering or technology or related field. 36 years of hands-on experience in data engineering or backend development. Proven track record of Python-based pipeline development and distributed data processing. Strong foundation in data modeling, data quality, and pipeline orchestration concepts. Excellent problem-solving and communication skills, with an ownership-driven mindset. Desired Qualifications Experience with Apache Airflow, Luigi, or Prefect for workflow orchestration. Exposure to real-time data streaming (Kafka, Kinesis). Familiarity with containerization tools (Docker, Kubernetes). Knowledge of data governance, cataloguing and metadata management.
As a Senior Angular Developer with 4 to 7 years of experience based in Mumbai, your primary role involves designing and developing high-performing and responsive web applications using Angular best practices. You will be responsible for writing clean and efficient TypeScript, CSS, and HTML codes while collaborating with team members such as UX designers, project managers, and back-end developers to ensure the delivery of quality work. Analyzing and resolving debugging issues in the application code is crucial for maintaining the sustainability of the application. Your proficiency in JavaScript, TypeScript, Angular, HTML, and CSS is essential, along with ensuring all code compliance with the company's standards. Coordinating with the backend team to create, test, and execute code that integrates with live streams and API endpoints is also a key responsibility. Additionally, you will be involved in creating system configuration functions using a component-based architecture and should have hands-on experience in developing modularized or template-based implementations. Performing product analysis and development tasks that require extensive research and analysis, conducting code reviews, and providing constructive feedback to team members are also significant responsibilities. You will define and document business requirements for complex system development or testing and should be comfortable working with agile/scrum/kanban methodologies. Your willingness to join a distributed team operating across different time zones is essential. Key Responsibilities: - Design and develop high-performing and responsive web applications using Angular best practices - Write clean and efficient TypeScript, CSS, and HTML codes - Collaborate with team members like UX designers, project managers, and back-end developers - Analyze and resolve debugging issues in the application code - Manage all code compliance with the company's standards - Coordinate with the backend team to create, test, and execute code - Create system configuration functions using a component-based architecture - Conduct code reviews and provide constructive feedback - Define and document business requirements for complex system development or testing - Comfortably work with agile/scrum/kanban methodologies - Join a distributed team operating across different time zones Qualifications Required for Senior Angular Developer: - Bachelor's degree in IT, computer science, computer engineering, or a similar field - Minimum 4 years of Angular and TypeScript experience - Practical knowledge of Angular 2+ and TypeScript - Good understanding of UI/UX design principles - Excellent Node.JS knowledge - Problem-solving and analytical skills - Good knowledge of APIs and routing - Strong knowledge of CSS, HTML, and writing cross-browser compatible code - Team player with strong attention to detail - Excellent verbal and written communication skills - Experience with CI/CD pipeline implementation using concourse/jenkins/git actions or any DevOps tool - Experience with version control systems (e.g., Git, Git actions) is a plus - Knowledge of AWS Cloud services, Terraform, Advance SQL, Python is a plus,