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JOB PROFILE: - SOFTWARE ENGINEER TRAINEE

• Experience with Web fundamentals like HTML5, JavaScript, CSS3, and JSP, etc.
• Good understanding of Object-Oriented JavaScript (OOJS), ES6,
• Hands-on exp in Web app development using modern client-side MVC frameworks using ReactJS
• Thorough understanding of ReactJs and its core principles
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Experience developing custom reusable components in ReactJS
• Proficient understanding of unit testing using JavaScript test frameworks like JEST
• Experience integrating REST APIs
• Ability to understand business requirements and translate them into technical requirements

Backend Developer/FullStack Developer - ANGULAR,JAVA

Roles and Responsibilities

• Manage and execute Organic Lead Generation, Social Media Marketing strategies with the team.
• Generating Organic leads through various social media handles.
• Define requirements, tasks, and resources associated to Online Branding, SMO etc.
• Monitor team performance and motivate team members to achieve all goals;
• Recognize high performance and reward accomplishments;
• Mediate and resolve any conflicts or issues;
• Suggest and organize team building activities;
• Work on achieving individual as well as team targets

Desired Candidate Profile

• Minimum Graduate or Post Graduate.
• Talkative, Enthusiastic, and Innovative.
• Knowledge of Global Market. (Forex & Comex)
• Fluent English Communication, Sales & Marketing Skills require.
• Should be a self-motivated, independent, detail-oriented, responsible team player and exhibit exceptional relationship management skills.
• Experienced in International Sales, Marketing, Global Market and Financial Services will be preferred.

Perks and Benefits

• Desired Incentives.
• Overseas Trip by Company.
• Monthly Contest & Trophies.
• Quarterly and Annual Rewards and Recognition.

About the Role:

We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

 Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

Responsibilities:

• Accountable for driving and generating revenue for the business unit working on outbound sales inquiries on phone calls or chats.

• Attending business networking events to generate leads

• Create and maintain database for outreach via phone, email, LinkedIn and other networking platforms.

• Market research to develop warm leads

• Develop an outreach mechanism through SOPs to reach out to target customers for generating leads.

• Upsell additional services as required to prospects.

• Get an understanding of the services offered at Infidigit on a regular basis by attending interna trainings as and when required.

• Deliver the monthly target as assigned by the business

• Understands pipeline management, working on opportunities/leads through ZOHO or other CRM tools and be able to present a report on a weekly basis to the leadership team.

• Prepare monthly, quarterly and annual sales forecasts.

• Enable the end-to-end onboarding process for new clients, ensuring a smooth transition from prospect to client status.

• Adhere to SOPs for lead conversion and onboarding to ensure successful client onboarding.

• Preparing weekly and monthly reports.

• Maintaining client records. 

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

• 3+ years’ experience developing and implementing enterprise-scale reports and dashboards.

• Proficiency with MS Power BI / SSRS.

• Knowledge of logical and physical data modeling concepts (relational and dimensional).

• Understanding of structured query language (SQL).