Senior Data Engineer - ETL/Python (5-8 yrs)

Positions : Senior Data Engineer

Experience : 5 to 8 years

Location : Hyderabad

Job Descriptions :

About the role :

We are seeking an experienced and innovative Senior Data Engineer to lead the design, development, and implementation of robust data pipelines and solutions for our clients. The ideal candidate will possess strong technical expertise, excellent leadership skills, and the drive to continuously learn and innovate.

As a Senior Data Engineer, you will lead a team of 3 to 5 talented engineers, ensuring high-quality deliverables while fostering a culture of innovation, collaboration, and technical excellence. You will also coordinate with clients to gather requirements, design technical solutions, and drive seamless project execution.

Key Responsibilities :

1. Data Pipeline Development :

- Design, build, and optimize scalable data pipelines to process and transform large datasets.

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

2. Team Leadership :

- Lead, mentor, and manage a team of 3 to 5 data engineers.

- Review team members' work to ensure adherence to technical standards and project timelines.

- Provide technical guidance and foster skill development within the team.

3. Client Collaboration :

- Work closely with clients to understand business requirements and translate them into technical solutions.

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

4. Quality Assurance and Innovation :

- Conduct code reviews and validations to maintain high-quality standards and optimize system performance.

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

5. 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.

6. Learning and Adaptability :

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

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

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

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 :

- 5 to 8 years of experience in data engineering with a strong focus on pipeline development and data modeling.

- Proven experience in leading small teams or mentoring junior engineers.

Technical Skills :

- Expertise in programming languages such as Python or Scala.

- Proficiency in designing and constructing data pipelines for ingesting raw data into Cloud Data Warehouses (e.g., Snowflake, Redshift), cleansing and transforming data to meet required specifications using various

ETL/ELT tools such as Matillion, dbt, Striim, etc.

- Hands-on experience with relational and NoSQL databases and data modeling techniques.

- Hands-on experience of 2+ years in designing and developing data integration solutions using Matillion and/or dbt.

- Strong knowledge of data engineering and integration frameworks.

- Successfully implemented at least one end-to-end project 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.

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

Soft Skills :

- Excellent problem-solving and analytical skills.

- Strong communication & interpersonal skills to liaise effectively with clients and team members.

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

- A proactive mindset with the ability to adapt to new technologies and frameworks

- Mandatory Skills : Python or Scala (Programming Languages), Data Warehousing, ETL Tools, Relational and Non-Relational Databases, Any Cloud