AWS Data Engineering Architect
INDIA - BENGALURU - WHITEFIELD SITE, IN
Birlasoft
At Birlasoft we combine the power of domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!Job Title: AWS Data Engineer
Job Summary: We are seeking a highly skilled and motivated AWS Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, cloud computing, and a passion for building scalable data solutions. As an AWS Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform.
Key Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL processes using AWS services such as Glue, Lambda, and Redshift.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Implement data integration and transformation processes to ensure data quality and consistency.
Optimize and tune data pipelines for performance and cost-efficiency.
Monitor and troubleshoot data pipeline issues to ensure data availability and reliability.
Develop and maintain documentation for data pipelines, processes, and infrastructure.
Stay up-to-date with the latest AWS services and best practices in data engineering.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Engineer with a focus on AWS services.
Strong proficiency in SQL and experience with data modeling and database design.
Experience with AWS services such as S3, Glue, Lambda, Redshift, and RDS.
Proficiency in programming languages such as Python or Java.
Knowledge of data warehousing concepts and ETL processes.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Preferred Qualifications:
AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Familiarity with data visualization tools such as Tableau or Power BI.
Experience with DevOps practices and tools such as Docker, Kubernetes, and CI/CD pipelines.
Benefits:
Competitive salary and benefits package.
Opportunity to work with cutting-edge technologies and a talented team.
Professional development and growth opportunities.
Flexible work environment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data CI/CD Computer Science Data Analytics Data pipelines Data quality Data visualization Data Warehousing DevOps Docker Engineering ETL Hadoop Java Kafka Kubernetes Lambda Pipelines Power BI Python Redshift Spark SQL Tableau
Perks/benefits: Career development Competitive pay
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