3+ ETL architecture Jobs in India

We are seeking a skilled AWS ETL/ELT Data Architect with a specialization in MongoDB to join our team. The ideal candidate will possess comprehensive knowledge and hands-on experience

in designing, implementing, and managing ETL/ELT processes within AWS while also demonstrating proficiency in MongoDB database management.

This role requires expertise in data architecture, AWS services, and MongoDB to optimize data solutions effectively.

Responsibilities:

● Design, architect, and implement ETL/ELT processes within AWS, integrating data from various sources into data lakes or warehouses, and utilising MongoDB as part of the data ecosystem.

● Collaborate cross-functionally to assess data requirements, analyze sources, and strategize effective data integration within AWS environments, considering MongoDB's role in the architecture.

● Construct scalable and high-performance data pipelines within AWS while integrating MongoDB for optimal data storage, retrieval, and manipulation.

● Develop comprehensive documentation covering data architecture, flows, and the interplay between AWS services, MongoDB, and ETL/ELT processes from scratch.

● Perform thorough data profiling, validation, and troubleshooting, ensuring data accuracy, consistency, and integrity in conjunction with MongoDB management.

● Stay updated with AWS and MongoDB best practices, emerging technologies, and industry trends to propose innovative data solutions and implementations.

● Provide mentorship to junior team members and foster collaboration with stakeholders to deliver robust data solutions.

● Analyze data issues, identify and articulate the business impact of data problems

● Perform code reviews and ensure that all solutions are aligned with pre-defined architectural standards, guidelines, and best practices, and meet quality standards

Qualifications:

● Bachelor's or Master’s degree in Computer Science, Information Technology, or related field.

● Minimum 5 years of hands-on experience in ETL/ELT development, data architecture, or similar roles.

● Having implemented more than a minimum of 3-4 live projects in a similar field would be desirable.

● Expertise in designing and implementing AWS-based ETL/ELT processes using tools like AWS Glue, AWS Data Pipeline, etc.

Branch Overview

Imagine a world where every person has improved access to financial services. People could start new businesses, pay for their children’s education, cover their emergency medical bills – the possibilities to improve life are endless. 

Branch is a global technology company revolutionizing financial access for millions of underserved banking customers today across Africa and India. By leveraging the rapid adoption of smartphones, machine learning and other technology, Branch is pioneering new ways to improve access and value for those overlooked by banks. From instant loans to market-leading investment yields, Branch offers a variety of products that help our customers be financially empowered.

Branch’s mission-driven team is led by the co-founders of Kiva.org and one of the earliest product leaders of PayPal. Branch has raised over $100 million from leading Silicon Valley investors, including Andreessen Horowitz (a16z) and Visa. 

With over 32 million downloads, Branch is one of the most popular finance apps in the world.

Job Overview

Branch launched in India in early 2019 and has seen rapid adoption and growth. In 2020 we started building out a full Engineering team in India to accelerate our success here. This team is working closely with our engineering team (based in the United States, Nigeria, and Kenya) to strengthen the capabilities of our existing product and build out new product lines for the company.

You will work closely with our Product and Data Science teams to design and maintain multiple technologies, including our API backend, credit scoring and underwriting systems, payments integrations, and operations tools. We face numerous interesting technical challenges ranging from maintaining complex financial systems to accessing and processing creative data sources for our algorithmic credit model. 

As a company, we are passionate about our customers, fearless in the face of barriers, and driven by data. As an engineering team, we value bottom-up innovation and decentralized decision-making: We believe the best ideas can come from anyone in the company, and we are working hard to create an environment where everyone feels empowered to propose solutions to the challenges we face. We are looking for individuals who thrive in a fast-moving, innovative, and customer-focused setting.

Responsibilities

• Make significant contributions to Branch’s data platform including data models, transformations, warehousing, and BI systems by bringing in best practices.
• Build customer facing and internal products and APIs with industry best practices around security and performance in mind.
• Influence and shape the company’s technical and product roadmap by providing timely and accurate inputs and owning various outcomes.
• Collaborate with peers in other functional areas (Machine Learning, DevOps, etc.) to identify potential growth areas and systems needed.
• Guide and mentor other younger engineers around you.
• Scale our systems to ever-growing levels of traffic and handle complexity.

Qualifications

• You have strong experience (8+ years) of designing, coding, and shipping data and backend software for web-based or mobile products.
• Experience coordinating and collaborating with various business stakeholders and company leadership on critical functional decisions and technical roadmap.
• You have strong knowledge of software development fundamentals, including relevant background in computer science fundamentals, distributed systems, data storage and processing, and agile development methodologies.
• Have experience designing maintainable and scalable data architecture for ETL and BI purposes.
• You are able to utlize your knowledge and expertise to code and ship quality products in a timely manner.
• You are pragmatic and combine a strong understanding of technology and product needs to arrive at the best solution for a given problem.
• You are highly entrepreneurial and thrive in taking ownership of your own impact. You take the initiative to solve problems before they arise.
• You are an excellent collaborator & communicator. You know that startups are a team sport. You listen to others, aren’t afraid to speak your mind and always try to ask the right questions. 
• You are excited by the prospect of working in a distributed team and company, working with teammates from all over the world.

Benefits of Joining

• Mission-driven, fast-paced and entrepreneurial environment
• Competitive salary and equity package
• A collaborative and flat company culture
• Remote first, with the option to work in-person occasionally
• Fully-paid Group Medical Insurance and Personal Accidental Insurance
• Unlimited paid time off including personal leave, bereavement leave, sick leave
• Fully paid parental leave - 6 months maternity leave and 3 months paternity leave
• Monthly WFH stipend alongside a one time home office set-up budget
• $500 Annual professional development budget 
• Discretionary trips to our offices across the globe, with global travel medical insurance 
• Team meals and social events- Virtual and In-person

Branch International is an Equal Opportunity Employer. The company does not and will not discriminate in employment on any basis prohibited by applicable law. We’re looking for more than just qualifications -- so if you’re unsure that you meet the criteria, please do not hesitate to apply!

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.