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Contactx Resource Management Pvt. Ltd.
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Core Java + AWS Professional

Core Java + AWS Professional

Contactx Resource Management Pvt. Ltd.

7 - 12 years

2 - 5 Lacs

mumbai

Posted:None| Platform:

Apply

Skills Required

data warehousing backend development sql spark aws continuous integration kubernetes glue amazon redshift ci/cd docker spring etl pipelines java lambda expressions data modeling production processes aws emr data transformation etl amazon cloudwatch

Work Mode

Work from Office

Job Type

Full Time

Job Description

Inviting applications for the role of Principal Consultant- AWS Developer

We are seeking an experienced Developer with expertise in AWS-based big data solutions,

particularly leveraging Apache Spark on AWS EMR, along with strong backend development

skills in Java and Spring. The ideal candidate will also possess a solid background in data

warehousing, ETL pipelines, and large-scale data processing systems..

Responsibilities

Design and implement scalable data processing solutions using Apache

Spark on AWS EMR.

Develop microservices and backend components using Java and the Spring

framework.

Build, optimize, and maintain ETL pipelines for structured and unstructured

data.

Integrate data pipelines with AWS services such as S3, Lambda, Glue,

Redshift, and Athena.

Collaborate with data architects, analysts, and DevOps teams to support data

warehousing initiatives.

Write efficient, reusable, and reliable code following best practices.

Ensure data quality, governance, and lineage across the architecture.

Troubleshoot and optimize Spark jobs and cloud-based processing workflows.

Participate in code reviews, testing, and deployments in Agile environments.

Qualifications we seek in you!

Minimum Qualifications

Bachelors degree

Preferred Qualifications/ Skills

Strong experience with Apache Spark and AWS EMR in production

environments.

Solid understanding of AWS ecosystem, including services like S3, Lambda,

Glue, Redshift, and CloudWatch.

Proven experience in designing and managing large-scale data warehousing

systems.

Expertise in building and maintaining ETL pipelines and data transformation

workflows.

Strong SQL skills and familiarity with performance tuning for analytical

queries.

Experience working in Agile development environments using tools such as

Git, JIRA, and CI/CD pipelines.

Familiarity with data modeling concepts and tools (e.g., Star Schema, Snowflake

Schema).

Knowledge of data governance tools and metadata management.

Experience with containerization (Docker, Kubernetes) and serverless architectures.

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