Position: Data Engineering Lead, Hyderabad

Department: Information Technology | Role: Full-time | Experience: 6 to 10 Years | Number of Positions: 2 | Location: Hyderabad

Skillset:

Programming Language, Data Warehousing, ETL Tools, Relational Database, Non Relational Database, Matillion/DbtCloud, (Additional:) Team Leadership, CI/CD Pipeline, Docker, Orchestration tools, Excellent English Communication Skills

Job Description:

About Us: We provide companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, we are a game-changer in any Products/ Operations strategy.

Job Description:

We are looking for an accomplished and dynamic Data Engineering Lead to join our team and drive the design, development, and delivery of cutting-edge data solutions. This role requires a balance of strong technical expertise, strategic leadership, and a consulting mindset. As the Lead Data Engineer, you will oversee the design and development of robust data pipelines and systems, manage and mentor a team of 5 to 7 engineers, and play a critical role in architecting innovative solutions tailored to client needs.

You will lead by example, fostering a culture of accountability, ownership, and continuous improvement while delivering impactful, scalable data solutions in a fast-paced, consulting environment.

Key Responsibilities:

1. Data Solution Design and Development:

• Architect, design, and implement end-to-end data pipelines and systems that handle largescale, complex datasets.

• Ensure optimal system architecture for performance, scalability, and reliability.

• Evaluate and integrate new technologies to enhance existing solutions.

• Implement best practices in ETL/ELT processes, data integration, and data warehousing.

1. Project Leadership and Delivery:

• Lead technical project execution, ensuring timelines and deliverables are met with high quality.

• Collaborate with cross-functional teams to align business goals with technical solutions.

• Act as the primary point of contact for clients, translating business requirements into actionable technical strategies.

1. Team Leadership and Development:

• Manage, mentor, and grow a team of 5 to 7 data engineers.

• Conduct code reviews, validations, and provide feedback to ensure adherence to technical standards.

• Provide technical guidance and foster an environment of continuous learning, innovation, and collaboration.

1. Optimization and Performance Tuning:

• Analyze and optimize existing data workflows for performance and cost-efficiency.

• Troubleshoot and resolve complex technical issues within data systems.

1. Adaptability and Innovation:

• Embrace a consulting mindset with the ability to quickly learn and adopt new tools, technologies, and frameworks.

• Identify opportunities for innovation and implement cutting-edge technologies in data engineering. '

• Exhibit a "figure it out" attitude, taking ownership and accountability for challenges and solutions.

1. Client Collaboration:

• Engage with stakeholders to understand requirements and ensure alignment throughout the project lifecycle.

• Present technical concepts and designs to both technical and non-technical audiences.

• Communicate effectively with stakeholders to ensure alignment on project goals, timelines, and deliverables.

1. Learning and Adaptability:

• Stay updated with emerging data technologies, frameworks, and tools.

• Actively explore and integrate new technologies to improve existing workflows and solutions.

1. Internal Initiatives and Eminence Building:

• Drive internal initiatives to improve processes, frameworks, and methodologies.

• Contribute to the organization’s eminence by developing thought leadership, sharing best practices, and participating in knowledge-sharing activities.

Qualifications:

Education:

• Bachelor’s or Master’s degree in computer science, Data Engineering, or a related field.

• Certifications in cloud platforms such as Snowflake Snowpro, Azure Data Engineer is a plus.

Experience:

• 7 to 10 years of experience in data engineering with hands-on expertise in data pipeline development, architecture, and system optimization.

• Proven track record in leading data engineering teams and managing end-to-end project delivery.

Technical Skills:

• Expertise in programming languages such as Python, or Scala.

• Proficiency in designing and delivering data pipelines in Cloud Data Warehouses (e.g., Snowflake, Redshift), using various ETL/ELT tools such as Matillion, dbt, Striim, etc.

• Solid understanding of database systems (relational and NoSQL) and data modeling techniques.

• Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt. o Strong knowledge of data engineering and integration frameworks.

• Expertise in architecting data solutions.

• Successfully implemented at least two end-to-end projects with multiple transformation layers.

• Good grasp of coding standards, with the ability to define standards and testing strategies for projects.

• Proficiency in working with cloud platforms (AWS, Azure, GCP) and associated data services.

• Enthusiastic about working in Agile methodology.

• Possess a comprehensive understanding of the DevOps process including GitHub integration and CI/CD pipelines.

• Experience working with containerization (Docker), and orchestration tools (such as Airflow, Control-M).

Soft Skills:

• Exceptional problem-solving and analytical skills.

• Strong communication and interpersonal skills to manage client relationships and team dynamics.

• Ability to thrive in a consulting environment, quickly adapting to new challenges and domains.

• Demonstrated accountability, ownership, and a proactive approach to solving problems.

Additional Information:

Why Join Us?

• Be at the forefront of data innovation and lead impactful projects.

• Work with a collaborative and forward-thinking team.

• Opportunity to mentor and develop talent in the data engineering space.

• Competitive compensation and benefits package.

• A dynamic environment where your contributions directly shape the future of data-driven decision making

Required Qualification:

Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) - IT / CS / E&CE/ MCA

With a fast-growing analytics, business intelligence, and automation company