Overview
ABOUT B4ULEAP: Website - www.b4uleap.com
b4uleap builds Global Teams to deliver technology and business services to startups and enterprises. Global Capability Centers (GCC) are emerging as the solution of choice to scale technology and business operations globally and India is at the epicenter. b4uleap’s experts and solutions help companies get started on their GCC journey right and avoid any hiccups or obstacles or obstacles when opening shop in India.
The b4uleap team collectively has more than 100 years collective experience in setting up operations and delivering solutions to global companies from multiple cities in India.
b4uleap helps companies set up a team at the GCC that is seamlessly integrated with their global organization and absorbed into their company culture. b4uleap implements processes to ensure service delivery at the highest standards. With b4uleap companies are able to build a high performing team delivering meaningful business outcomes before they have to start worrying about running a business in a new country
b4uleap is headquartered in the USA and has operations in Bengaluru and Hyderabad.
XponentL Data, Inc : Website - www.XponentL.com
XponentL Data is a US based Data Products company that specializes in helping companies turn complex data into automated, AI enabled solutions that drive transformation and deliver competitive advantages. They blend deep technical expertise with strategic insights. Their approach ensures that Data & AI is not just managed but leveraged for meaningful results.
Xponentl provides services to companies in the healthcare, life sciences, financial, retail, energy and manufacturing sectors. XponentL team has 100+ years of combined Life Sciences industry experience and service 8 out of the top 10 Biotech companies in the world.
XponentL is headquartered in the USA and has a development center in Pristina, Kosovo. XponentL has partnered with b4uleap to build its new GCC in India.
Position Title: AWS Technical Lead Data Engineer
Employment Type: Full time ( hybrid)
Location: Bangalore/ Hyderabad
Position Summary:
As an AWS Technical Lead Data Engineer, you will play a pivotal role in leading and mentoring data engineering teams, architecting and designing robust data solutions on AWS, and serving as the primary technical point of contact for clients. You will leverage your deep expertise in AWS cloud technologies, data engineering best practices, and leadership skills to drive successful project delivery and ensure client satisfaction.
Key Responsibilities:
- Technical Leadership: Provide technical guidance and mentorship to data engineering teams, fostering a culture of innovation and continuous improvement.
- Solution Architecture: Design and architect scalable, high-performance data solutions on AWS, leveraging services such as S3, Glue, Lambda, EMR, Redshift, DynamoDB, Kinesis, and Athena to meet client requirements.
- Client Engagement: Serve as the primary technical point of contact for clients, understanding their business needs, and translating them into effective data solutions.
- Project Management: Lead and manage end-to-end project delivery, ensuring projects are completed on time, within budget, and to the highest quality standards.
- Data Modeling: Develop and maintain comprehensive data models that support analytics, reporting, and machine learning use cases.
- Performance Optimization: Continuously monitor and optimize data pipelines and systems to ensure optimal performance and cost-efficiency, utilizing tools like CloudWatch and AWS Cost Explorer
- Technology Evangelism: Stay abreast of the latest AWS technologies and industry trends, and advocate for their adoption within the organization.
- Team Collaboration: Foster strong collaboration with data scientists, analysts, and other stakeholders to ensure alignment and successful project outcomes.
Technical Skills and Expertise:
- AWS Services: Deep understanding of core AWS services for data engineering, including S3, Glue, Lambda, EMR, Redshift, DynamoDB, Kinesis, Athena, CloudWatch, and IAM.
- Programming Languages: Proficiency in Python, SQL, and PySpark for data processing, transformation, and analysis.
- Data Warehousing and ETL: Expertise in designing and implementing data warehousing solutions, ETL processes, and data modeling techniques.
- Infrastructure as Code (IaC): Experience with tools like CloudFormation or Terraform to automate and manage infrastructure provisioning.
- Big Data Technologies: Familiarity with big data frameworks like Apache Spark and Hadoop for handling large-scale data processing.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 10+ years of experience in data engineering, with at least 3+ years in a technical leadership role.
- Deep expertise in AWS cloud technologies and data services.
- Proven track record in architecting and delivering complex data solutions on AWS.
- Strong leadership, communication, and client-facing skills.
- Experience in data modeling, ETL processes, and data warehousing.
- Excellent problem-solving, analytical, and decision-making skills.
Our Recruitment Process-
We want to ensure you have the best opportunity to showcase your skills and capabilities while making the application process seamless. Once you choose to apply for a position, you will be asked a few questions and will be asked to upload your resume. If your application meets our requirements, you will go through the hiring process as detailed below:
1) In the very first step, you will go through an AI interview to help us get to know you better and understand your skills and qualifications. While AI can seem daunting, we have designed this experience to feel as natural as a real conversation. (Please email Namrata at narland@b4uleap.com, if you have any concerns)
2) Next you will be given a Skills Test to assess your technical and problem solving skills. (Skills test is dependent on the role applied for and not all roles will need a skills test)
3) In the third step of the process, you will be talking with a recruiter to provide you more information about the job and prepare you for an interview with the hiring managers
4) Lastly, depending on the role applied for, you will go through either one or two rounds of interviews with hiring managers at XponentL Data, Inc our client partner.
You can expect feedback within a day after each step of the process.
Thank you for your interest in this role and taking the time to apply!