Collection Manager - Two Wheeler

Calculating taxes and submitting tax returns to comply with the law

Auditing financial documents to ensure they are accurate and maintaining the confidentiality of the financial data

knowledge of GST

We are a rapidly expanding global technology partner, that is looking for a highly skilled Senior (Python) Data Engineer to join their exceptional Technology and Development team. The role is in Kolkata. If you are passionate about demonstrating your expertise and thrive on collaborating with a group of talented engineers, then this role was made for you!

At the heart of technology innovation, our client specializes in delivering cutting-edge solutions to clients across a wide array of sectors. With a strategic focus on finance, banking, and corporate verticals, they have earned a stellar reputation for their commitment to excellence in every project they undertake.

We are searching for a senior engineer to strengthen their global projects team. They seek an experienced Senior Data Engineer with a strong background in building Extract, Transform, Load (ETL) processes and a deep understanding of AWS serverless cloud environments.

As a vital member of the data engineering team, you will play a critical role in designing, developing, and maintaining data pipelines that facilitate data ingestion, transformation, and storage for our organization.

Your expertise will contribute to the foundation of our data infrastructure, enabling data-driven decision-making and analytics.

Key Responsibilities:

• ETL Pipeline Development: Design, develop, and maintain ETL processes using Python, AWS Glue, or other serverless technologies to ingest data from various sources (databases, APIs, files), transform it into a usable format, and load it into data warehouses or data lakes.
• AWS Serverless Expertise: Leverage AWS services such as AWS Lambda, AWS Step Functions, AWS Glue, AWS S3, and AWS Redshift to build serverless data pipelines that are scalable, reliable, and cost-effective.
• Data Modeling: Collaborate with data scientists and analysts to understand data requirements and design appropriate data models, ensuring data is structured optimally for analytical purposes.
• Data Quality Assurance: Implement data validation and quality checks within ETL pipelines to ensure data accuracy, completeness, and consistency.
• Performance Optimization: Continuously optimize ETL processes for efficiency, performance, and scalability, monitoring and troubleshooting any bottlenecks or issues that may arise.
• Documentation: Maintain comprehensive documentation of ETL processes, data lineage, and system architecture to ensure knowledge sharing and compliance with best practices.
• Security and Compliance: Implement data security measures, encryption, and compliance standards (e.g., GDPR, HIPAA) as required for sensitive data handling.
• Monitoring and Logging: Set up monitoring, alerting, and logging systems to proactively identify and resolve data pipeline issues.
• Collaboration: Work closely with cross-functional teams, including data scientists, data analysts, software engineers, and business stakeholders, to understand data requirements and deliver solutions.
• Continuous Learning: Stay current with industry trends, emerging technologies, and best practices in data engineering and cloud computing and apply them to enhance existing processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with a focus on ETL pipeline development.
• Strong proficiency in Python programming.
• In-depth knowledge of AWS serverless technologies and services.
• Familiarity with data warehousing concepts and tools (e.g., Redshift, Snowflake).
• Experience with version control systems (e.g., Git).
• Strong SQL skills for data extraction and transformation.
• Excellent problem-solving and troubleshooting abilities.
• Ability to work independently and collaboratively in a team environment.
• Effective communication skills for articulating technical concepts to non-technical stakeholders.
• Certifications such as AWS Certified Data Analytics - Specialty or AWS Certified DevOps Engineer are a plus.

Preferred Experience:

• Knowledge of data orchestration and workflow management tools
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Previous experience in industries with strict data compliance requirements (e.g., insurance, finance) is beneficial.

What You Can Expect:

- Innovation Abounds: Join a company that constantly pushes the boundaries of technology and encourages creative thinking. Your ideas and expertise will be valued and put to work in pioneering solutions.

- Collaborative Excellence: Be part of a team of engineers who are as passionate and skilled as you are. Together, you'll tackle challenging projects, learn from each other, and achieve remarkable results.

- Global Impact: Contribute to projects with a global reach and make a tangible difference. Your work will shape the future of technology in finance, banking, and corporate sectors.

They offer an exciting and professional environment with great career and growth opportunities. Their office is located in the heart of Salt Lake Sector V, offering a terrific workspace that's both accessible and inspiring. Their team members enjoy a professional work environment with regular team outings. Joining the team means becoming part of a vibrant and dynamic team where your skills will be valued, your creativity will be nurtured, and your contributions will make a difference. In this role, you can work alongside some of the brightest minds in the industry.

If you're ready to take your career to the next level and be part of a dynamic team that's driving innovation on a global scale, we want to hear from you.

Apply today for more information about this exciting opportunity.

Onsite Location: Kolkata, India (Salt Lake Sector V)

Proven experience as a Business Analyst or similar role.

Strong communication skills, both written and verbal, with the ability to effectively convey complex concepts.

Excellent documentation skills, with attention to detail and accuracy.

Proficient in logical and analytical thinking, with the ability to solve problems and think critically.

Demonstrated understanding of business needs and the ability to perform comprehensive requirement analysis.

Familiarity with Jira tool and Agile methodology.

Strong organizational skills and the ability to manage multiple tasks simultaneously

• Create and execute a strategic sales plan that expands our customer base and extends the company's global reach
• Meet with potential clients and grow long-lasting relationships that address their needs
• Recruit sales representatives, set objectives, train and coach them, and monitor their performance
• Identify knowledge gaps within the team and develop plans for filling them
• Ensure that company quotas are met by holding daily check-ins with sales team to set objectives and monitor progress
• Manage the month-end and year-end close processes
• Five or more years of experience in managing sales in a corporate setting
• Proven record of success with the entire sales process, from planning to closing
• Excellent communication, interpersonal, and organizational skills
• Superb leadership ability
• Candidate can join immediately

Responsibilities:

• Design and implement backend infrastructure and APIs.

• Write high quality code that is robust, readable and scales.

• Possess the drive to dive deep. thrive and progress even in ambiguous situations.

• Encourage and support knowledge sharing within teams and external groups.

• Troubleshoot & debug applications.

• Adopt problem solving as a way of life - always go to the root cause.

• Collaborate with the team to discuss and implement ideas.

• Build responsive, robust and optimised applications.

Requirements:

• Passionate about building backend systems.

• Desire to explore new ideas, open to other ideas as well.

• Love for writing clean, beautiful, readable and testable code.

• Experience in designing extensible DRY code.

• Our stack is based on Django, Python3 Celery, Angular and Postgres.

• We expect you to have a good understanding of Python. It's even better if you are familiar with some of Git. Django, Celery, Redis and Unix Shell.