Data Engineering Lead

2 weeks ago

Chennai, Tamil Nadu, India Sutherland Global Full time
Key Responsibilities:

As a Data Engineering Lead at Sutherland Global, you will be responsible for designing, developing, and implementing scalable data solutions that support our analytical and reporting needs. Your expertise in SQL, Python, and AWS services will be critical in optimizing our data infrastructure and enabling data-driven decision-making across the organization.

Results-Driven:

Develop and maintain data pipelines and ETL processes to support data integration, transformation, and loading into data warehouses.

Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver robust data solutions.

Technical Expertise:

Design, implement, and optimize data models and schemas within a data warehouse environment.

Write complex SQL queries, stored procedures, and functions to support data extraction, transformation, and reporting needs.

Cloud Computing:

Leverage AWS data services, including Redshift, Lambda, Glue, S3, and others, to build scalable and cost-effective data solutions.

Implement data storage and processing solutions that align with best practices for security, performance, and cost optimization in the cloud.

DevOps and CI/CD:

Implement DevOps practices and tools to streamline the deployment and management of data pipelines and infrastructure.

Set up continuous integration and continuous delivery (CI/CD) pipelines for automated testing, deployment, and monitoring of data solutions.

Professional Development:

Maintain and apply knowledge of AWS services through certification as an AWS Certified Developer - Associate, AWS Certified Solutions Architect, or equivalent.

Stay up-to-date with the latest industry trends, best practices, and emerging technologies in data engineering and cloud computing.

Requirements:

A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

7+ years of experience in data engineering, with a strong emphasis on SQL, data warehousing, and AWS technologies.

Proficiency in SQL for complex queries, stored procedures, and performance tuning.

Hands-on experience with AWS data services (e.g., Redshift, Lambda, Glue, S3).

Proficiency in Python for data manipulation, scripting, and automation.

Preferred Qualifications:

Experience with machine learning concepts and frameworks.

Hands-on experience with big data technologies (e.g., Spark, Hadoop, Kafka).

Experience with modern reporting and visualization tools (e.g., Power BI, Tableau, SSRS).

Certified AWS Professional (AWS Certified Developer - Associate, AWS Certified Solutions Architect).

Personal Attributes:

A strong analytical and problem-solving skills.

Excellent communication and collaboration abilities.

Ability to work independently and lead projects from conception to completion.

Continuous learner with a passion for staying current with new technologies and best practices.

Why Sutherland Global?

Opportunity to work with cutting-edge technologies and drive innovation in data engineering.

Collaborative and inclusive work environment.

Professional development opportunities, including AWS certification programs.

Competitive compensation and benefits package.

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