Inside Sales Manager - USA/Middle East

Data Engineer

Experience: 4–6 years

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows.
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years).
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).
• Collaborate with cross-functional teams in a geographically distributed setup.
• Leverage Jupyter notebooks for data exploration, analysis, and visualization.

Required Skills

• 4+ years of experience in data engineering or a related field.
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.
• Hands-on experience with pipeline monitoring and CI/CD workflows.
• Proficiency in SQL and relational databases.
• Familiarity with Git for version control.
• Strong communication and collaboration skills with ability to work independently.

Description

About us

Welcome to Decision Foundry!

We are both a high growth startup and one of the longest tenured Salesforce Marketing Cloud Implementation Partners in the ecosystem. Forged from a 19-year-old web analytics company, Decision Foundry is the leader in Salesforce intelligence solutions.

We win as an organization through our core tenets. They include:

• One Team. One Theme.
• We sign it. We deliver it.
• Be Accountable and Expect Accountability.
• Raise Your Hand or Be Willing to Extend it

Requirements

• Strong understanding of data management principles and practices (Preferred experience: AWS Redshift).

• Experience with Tableau server administration, including user management and permissions (preferred, not mandatory).

• Ability to monitor alerts and application logs for data processing issues and troubleshooting.

• Ability to handle and monitor support tickets queues and act accordingly based on SLAs and priority.

• Ability to work collaboratively with cross-functional teams, including Data Engineers and BI team.

• Strong analytical and problem-solving skills.

• Familiar with data warehousing concept and ETL processes.

• Experience with SQL, DBT and database technologies such as Redshift, Postgres, MongoDB, etc.

• Familiar with data integration tools such as Fivetran or Funnel.io

• Familiar with programming languages such as Python.

• Familiar with cloud-based data technologies such as AWS.

• Experience with data ingestion and orchestration tools such as AWS Glue.

• Excellent communication and interpersonal skills.

• Should possess experience of 2+ years.

Our client has a B2C startup in the Fintech space building the payment system for the

subscription economy. We have raised pre-seed funding from some of the leading

investors in the country. A small brief about their product - To build the payment

system for the subscription economy and make it easier to discover and manage

subscription payments in India and abroad. To give subscription merchants the

power to increase their offering by providing user subscription data, multiple login

authentication, distribution and one click subscription checkouts. To enable users to

participate in the subscription economy & increase adoption of new subscriptions.

The core team come from strong backgrounds having been alumni of IIT Madras,

IIM Calcutta as well as having worked with some of the top startups in the

ecosystem including Swiggy, Mckinsey, Barclays, etc..

What we're looking for

We are looking for an experienced Python developer to join our engineering team

and help us develop our mobile application. In this role, you will be responsible for

writing and testing scalable code, developing back-end components, and integrating

user-facing elements in collaboration with front-end developers.

To be successful as a Python developer, you should possess in-depth knowledge of

object-relational mapping, experience with server-side logic, and above-average

knowledge of Python programming.

As one of the earliest members in engineering, you will have the flexibility to design

the application and systems from ground up. As any early-stage start-up, we expect

you to be comfortable wearing various hats, and be proactive contributor in building

something truly remarkable.

Responsibilities

Coordinating with development teams to determine application requirements.Python Backend Developer

2

Writing scalable code using Python programming language.

Developing back-end components.

Implement business logic in the backend

Integrating user-facing elements using server-side logic.

Create restful APIs for a seamless integration with our mobile front end

Testing and debugging applications.

Assessing and prioritizing client feature requests.

Integrating data storage solutions.

Coordinating with front-end developers.

Reprogramming existing databases to improve functionality.

Developing digital tools to monitor online traffic.

Qualifications

4+ years of experience in Python, Django, Mongo, Express, MySQL, etc

Have built applications capable of serving high volume with low latency in

production

Following practices of agile development with continuous integration/deployment

A deep understanding and multi-process architecture and the threading

limitations of Python.

Experience in deploying applications in AWS cloud

Ability to collaborate on projects and work independently when required.

Knowledge in building applications for Fintech/payments domain is a bonus

Bachelor's or Master's degree in CS or equivalent from a reputed institution

About Us:

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, frameworks, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

What you will do at Episource:

You will be responsible for setting an agenda to develop and build machine learning platforms that positively impact the business, working with partners across the company including operations and engineering. You will be working closely with the machine learning team to design and implement back end components and services. You will be evaluating new technologies, enhancing the applications, and providing continuous improvements to produce high quality software.

Required Skills:

• Strong background in analytics, BI or data science deployments is preferable with 2-6 years of experience

• Knowledge of React/Vue, HTML, CSS

• Experience building and consuming APIs 

• Experience with MySQL, MongoDB and MEAN stack 

• Knowledge and experience with serverless architectures is a plus

• Hands-on experience with AWS or any major cloud service provider for deploying solutions

• Experience with Docker or Kubernetes in deploying solutions on the cloud

• Hands-on experience Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Position: Full Stack Developer

Location: Remote

Experience: 2-3 Years

.Net Core, Angular / AngularJS, PL/SQL is must

Skill Set:

• .Net Core, Angular JS - skills are a must
• Must have done WebAPI's.
• Implemented single Sign on - added advantage
• A bit of Pl/sql or Sql is an added advantage
• Must be aware of Agile Methodologies
• Must be aware of code versioning tool like GitHub/Bitbucket
• Exposure to tools like JIRA/Confluence is an added advantage
• Must be aware of Dependcy Injection pattern