About the role

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Responsibilities:

A Data Engineer should be able to build, operationalize and monitor data processing systems

Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset

Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases

Engineers and supports data structures including but not limited to SQL and NoSQL databases

Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)

Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions

Respond to customer/team inquiries and assist in troubleshooting and resolving challenges

Works with other scrum team members to estimate and deliver work inside of a sprint

Research data questions, identifies root causes, and interacts closely with business users and technical resources

Qualifications:

Strong professional technical experience

Hands on DBT experience.

Hands-on Data Warehousing.

Experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake

Experience in programming languages such as Python

Experience working in cloud environments (Azure)

Experience in Redshift

Strong client-facing communication and facilitation skills

Key Skills:

Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP

Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. India Employment Benefits include: Comprehensive health insurance coverage for employees, with options to extend coverage to dependents Paid time off and company holidays, along with additional leave benefits as per policy Flexible work arrangements, supporting work-life balance Learning and development opportunities to support continuous growth and upskilling Employee wellness initiatives and programs focused on physical and mental well-being Retirement and statutory benefits in line with India regulations Inclusive and people-first culture, with a strong focus on collaboration and ownership

Senior Technical Consultant / Technical Consultant, Data

About the role

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