SAP ABAP Developer

About the Role

We are looking for a detail-oriented and motivated Finance Executive with a strong background in finance operations. The ideal candidate should have hands-on experience with financial systems and tools, along with the ability to handle day-to-day financial activities efficiently.

Key Responsibilities

• Manage day-to-day financial operations, including accounting, billing, and expense management.
• Maintain accurate financial records and ensure timely data entry in SAP/Oracle.
• Assist in monthly, quarterly, and annual financial closing processes.
• Prepare MIS reports, financial statements, and reconciliations as required.
• Support audits and ensure compliance with internal financial policies.
• Coordinate with internal departments for finance-related queries and documentation.
• Track vendor payments, invoices, and ensure timely processing.

Required Skills & Qualifications

• Minimum 3 years of experience in Finance/Accounts.
• Strong hands-on experience with SAP and Oracle (mandatory).
• Good understanding of accounting principles, bookkeeping, and financial reporting.
• Proficiency in MS Excel and financial analysis tools.
• Excellent attention to detail, organizational skills, and time management.
• Strong communication skills and ability to work cross-functionally.

Strong DevOps /Cloud Engineer Profiles

Mandatory (Experience 1) – Must have 3+ years of experience as a DevOps / Cloud Engineer

Mandatory (Experience 2) – Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)

Mandatory (Experience 3) – Must have strong hands-on experience in Linux administration and system management

Mandatory (Experience 4) – Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes

Mandatory (Experience 5) – Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins

Mandatory (Experience 6) – Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation

Mandatory (Experience 7) – Must be proficient in scripting languages such as Python or Bash for automation

Mandatory (Experience 8) – Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch

Mandatory (Company) – Top tier Product-based company (B2B Enterprise SaaS preferred)

 Key Responsibilities

• Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
• Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
• Perform data wrangling, cleansing, and transformation using Python and SQL
• Collaborate with data scientists to integrate Generative AI models into analytics workflows
• Build dashboards and reports to visualize insights using tools like Power BI or Tableau
• Ensure data quality, governance, and security across all data assets
• Optimize performance of data pipelines and troubleshoot bottlenecks
• Work closely with stakeholders to understand data requirements and deliver actionable insights

🧪 Required Skills

Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker

📚 Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field
• 3+ years of experience in data engineering or data analytics
• Hands-on experience with Databricks, PySpark, and AWS
• Familiarity with Generative AI tools and frameworks is a strong plus
• Strong problem-solving and communication skills

🌟 Preferred Traits

• Analytical mindset with attention to detail
• Passion for data and emerging technologies
• Ability to work independently and in cross-functional teams
• Eagerness to learn and adapt in a fast-paced environment

I'm seeking someone passionate about design who wants to gain real-world product-building experience for their portfolio. Goalbook is an early-stage project—an AI-based goal assistant currently in the prototype phase. We're building the MVP to test market viability and refine the user experience.

I'm looking for a designer who’s excited about crafting intuitive, user-centered experiences and eager to understand user needs and expectations deeply.

Ideal candidate:

• Has strong UI design skills
• Is curious and committed to user research
• Is enthusiastic, self-motivated, and willing to learn
• Experience level doesn't matter—as long as you're driven to grow and create

If you're someone who loves turning ideas into thoughtful, usable designs, let’s connect!

Job Details:

 Generate potential client leads by contacting investors and wealth professionals that have communicated interest in evaluating MProfit’s products

 Follow up with potential client leads as a point-of-contact to address their requirements, schedule online demos and provide assistance to help them evaluate MProfit products seamlessly

 Follow up with new clients to ensure a smooth post-sales client onboarding experience

 Follow up with existing clients regarding client feedback, subscription renewals and issue resolution

 Work with MProfit Support Team regarding assignment of client support requests and communication of client feedback

Job Requirements:

 Candidate with 0-2 years of experience

 Excellent verbal and written communication.

 Fluency in English and Hindi; knowledge of other languages is a plus

 Graduate with excellent academic results with good logical thinking

 Proficiency with Microsoft Office products such as Excel and Word

 Knowledge of multiple languages is an added advantage

1.      Core Responsibilities

·        Leading solutions for data engineering

·        Maintain the integrity of both the design and the data that is held within the architecture

·        Champion and educate people in the development and use of data engineering best practises

·        Support the Head of Data Engineering and lead by example

·        Contribute to the development of database management services and associated processes relating to the delivery of data solutions

·        Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.

·        Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise

·        Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.

·        Provide support for the scoping and delivery of BI capability to internal users.

·        Identify risks and issues and escalate to Line / Project manager. 

·        Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.

·        Develop and maintain documentation in support of all BI processes.

·        Proactively identify cost-justifiable improvements to data manipulation processes.

·        Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.

·        Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.

·        Demonstrate enthusiasm and self-motivation at all times.

·        Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.

·        Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence

·        Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.

·        Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.

·        Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.

2.      Experience Requirements

·        5 years Data Engineering / ETL development experience is essential

·        5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential

·        5 years experience of working in a structured Change Management project lifecycle is essential

·        Experience of working in a financial services environment is desirable

·        Experience of dealing with senior management within a large organisation is desirable

·        5 years experience of developing in conjunction with large complex projects and programmes is desirable

·        Experience mentoring other members of the team on best practise and internal standards is essential

·        Experience with cloud data platforms desirable (Microsoft Azure) is desirable

3.      Knowledge Requirements

·        A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential

·        Strong demonstrable knowledge of data warehouse methodologies

·        Robust understanding of high level business processes is essential

·        Understanding of data migration, including reconciliation, data cleanse and cutover is desirable

• Proficient in Python 2 / 3 and have built products before (managing the entire DevOps cycle) - proficient in Python Data Structures
• Good understanding of Open Source Visualisation Tools like D3.JS, Matplotlib etc.
• Good understanding of Functional APIs and Data Ingestion viz. Pandas’ dataframe from SQL DB and Excel (CSV) & Flat files of (primarily) structured data - no data cleansing
• Growth mindset - eagerness to learn and grow in the role
• Qualifications: B.Tech / BE / Graduate Engineer in any stream (preferred Mech / Industrial Engineer)
• Compensation : At par with industry (with stock options / grants to be vested over 3 years)