Technical Lead

6 days ago


Bangalore, India Relic Consultancy Services Full time

Experience : 8-14 years.

Notice period : 30 days.

Key Responsibilities :

Technical Leadership :

- Lead and mentor a team of data engineers, providing technical guidance and support.

- Drive the design, development, and deployment of scalable data pipelines and solutions using Databricks, Airflow, PySpark/Spark, Kafka, and cloud technologies.

- Ensure best practices and standards are followed in coding, testing, and documentation.

Architecture and Design :

- Architect and design data processing systems that are robust, scalable, and maintainable.

- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.

- Evaluate and recommend tools and technologies to enhance our data infrastructure.

Data Pipeline Development :

- Develop and maintain ETL/ELT pipelines using Databricks, Airflow, PySpark/Spark, and Kafka.

- Implement data integration and data processing solutions to handle large-scale, complex datasets.

- Optimize data pipelines for performance, scalability, and reliability.

Cloud Integration :

- Design and implement cloud-based data solutions, leveraging platforms such as AWS, Azure, or Google Cloud.

- Ensure data security, compliance, and governance in cloud environments.

Collaboration and Communication :

- Work closely with cross-functional teams including data science, analytics, and product development to deliver data-driven solutions.

- Communicate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Continuous Improvement :

- Stay current with industry trends and emerging technologies in data engineering.

- Propose and implement improvements to existing data infrastructure and processes.

Qualifications :

Education : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Experience :

- 8+ years of experience in data engineering or related field.

- Proven experience as a technical lead or senior data engineer.

- Extensive experience with Databricks, Apache Airflow, PySpark/Spark.

- Knowledge on Apache Kafka is preferred.

- Must have system designing & documentation/architecture experience.

- Strong experience with cloud platforms such as AWS, Azure, or Google Cloud.

Soft Skills :

- Excellent problem-solving and analytical skills.

- Strong leadership and team management abilities.

- Effective communication and interpersonal skills.

- Ability to work in a fast-paced, collaborative environment.

(ref:hirist.tech)
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