The Role
Design, build, and operate scalable data pipelines and ELT processes using cloud-native tools. Implement streaming solutions, maintain SQL/NoSQL stores, monitor data platforms (Snowflake, Databricks, Hadoop), troubleshoot issues, collaborate with scrum teams, and work closely with business stakeholders to deliver modern data engineering solutions.
Summary Generated by Built In
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:
- 3+ years of professional technical experience
- 3+ years of hands on DBT experience.
- 3+ years of hands-on Data Warehousing.
- 3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
- 2+ years of programming languages such as Python
- 3+ years of experience working in cloud environments (Azure)
- 2 years of 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
Skills Required
- 3+ years of professional technical experience
- 3+ years of hands-on DBT experience
- 3+ years of hands-on Data Warehousing experience
- 3+ years building scalable data solutions using Hadoop, Spark, Databricks, Snowflake
- 2+ years programming experience in Python
- 3+ years working in cloud environments (Azure)
- 2 years of experience in Redshift
- Strong client-facing communication and facilitation skills
AHEAD Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AHEAD and has not been reviewed or approved by AHEAD.
-
Retirement Support — 401(k) contributions are matched dollar-for-dollar on the first $5,000 each year, with matching made each pay period and immediate 100% vesting. This structure signals above-standard employer support for retirement savings.
-
Affordable Benefits — Medical options include low employee premiums for PPO and HDHP plans, and the HDHP adds employer HSA funding plus a dollar-for-dollar HSA match up to stated amounts. Dental and vision plans list very low per-paycheck costs, helping keep overall healthcare spend manageable.
-
Wellbeing & Lifestyle Benefits — No-cost telemedicine (including virtual mental health when enrolled), free Calm access for the employee and dependents, and an EAP with counseling are included. Company-paid life and disability plus voluntary protections (legal/ID, pet insurance) and other extras round out a comprehensive set of supports.
AHEAD Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
AHEAD builds platforms for digital business. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help enterprises deliver on the promise of digital transformation.
.png)
