Lead - AWS Data Engineer

About US:-

We turn customer challenges into growth opportunities.

Material is a global strategy partner to the worlds most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences.

We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve.

Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe

JD  AWS Data Engineer
 Key Responsibilities:*
 Data Modeling:* Design and implement efficient data models, ensuring data accuracy and optimal performance.
 ETL Development:* Develop, maintain, and optimize ETL processes to extract, transform, and load data from various sources into our data warehouse.
 SQL Expertise:* Write complex SQL queries to extract, manipulate, and analyze data as needed.
 Python Development:* Develop and maintain Python scripts and applications to support data processing and automation.
 AWS Expertise:* Leverage your deep knowledge of AWS services, such as S3, Redshift, Glue, EMR, and Athena, to build and maintain data pipelines and infrastructure.
 Infrastructure as Code (IaC):* Experience with tools like Terraform or CloudFormation to automate the provisioning and management of AWS resources is a plus.
 Big Data Processing:* Knowledge of PySpark for big data processing and analysis is desirable.
 Source Code Management:* Utilize Git and GitHub for version control and collaboration on data engineering projects.
 Performance Optimization:* Identify and implement optimizations for data processing pipelines to enhance efficiency and reduce costs.
 Data Quality:* Implement data quality checks and validation procedures to maintain data integrity.
 Collaboration:* Work closely with data scientists, analysts, and other teams to understand data requirements and deliver high-quality data solutions.
 Documentation:* Maintain comprehensive documentation for all data engineering processes and projects.
 Qualifications:*

At least 6-9 years of experience in data engineering roles, with a strong emphasis on AWS technologies.

Proficiency in data modeling, SQL, and Python.

Demonstrated expertise in AWS services, especially for data processing, extract transform and load.

Familiarity with Infrastructure as Code (IaC) tools.

Experience with PySpark and big data processing is a plus.

Strong version control skills using Git and GitHub.

Excellent problem-solving and communication skills.

Ability to work independently and in a team, taking ownership of projects and delivering on time.

Who We Are & What We Care About
 Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.
 Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.
 We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work.
 A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives.

What We Offer
 Professional Development and Mentorship.
 Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
 Health and Family Insurance.
 40+ Leaves per year along with maternity & paternity leaves.
 Wellness, meditation and Counselling sessions.,