Walkin Drive for Hadoop and AWS Data Engineer in Chennai

2 weeks ago


Chennai, Tamil Nadu, India HCLTech Full time
Job Description

Hi we are conducting Walkin Drive for Sat 22nd March in Chennai .

JD-

1. Hadoop Developer(5+ Years)

Hadoop/Omnia Dev Engineers To develop and deliver codes for the work assigned in accordance with time| quality and cost standards

Job responsibilities:

Interact with business stake holders and designers to implement to understand business requirements.

Hadoop development and implementation.

Loading from disparate data sets.

Good to have Teradata Knowledge

Must have working experience in IntelliJ IDEA, AutoSys, WinSCP, Putty & GitHub.

Designing, building, installing, configuring and supporting Hadoop.

Transform data using spark & scala

Translate complex functional and technical requirements into detailed design.

Perform analysis of vast data stores and uncover insights.

Maintain security and data privacy.

Create scalable and high-performance web services for data tracking.

High-speed querying.

Managing and deploying HBase.

Test prototypes and oversee handover to operational teams.

Propose best practices/standards.

1. AWS data Engineer(5+ Years)

Lead the migration of Hadoop workloads from on-premise to AWS-EMR stack.

Design and implement data architectures on AWS, including data pipelines, storage, and security.

Collaborate with cross-functional teams to ensure seamless migration and integration.

Optimize data architectures for scalability, performance, and cost-effectiveness.

Develop and maintain technical documentation and standards.

Provide technical leadership and mentorship to junior team members.

Work closely with stakeholders to understand business requirements, and ensure data architectures meet business needs.

Work alongside customers to build enterprise data platforms using AWS data services like Elastic Map Reduce (EMR), Redshift, Kinesis, Data Exchange, Data Sync, RDS , Data Store, Amazon MSK, DMS, Glue, Appflow, AWA Zero-ETL, Glue Data Catalog, Athena, Lake Formation, S3, RMS, Data Zone, Amazon MWAA, APIs Kong

Deep understanding of Hadoop components, conceptual processes and system functioning and relative components in AWS EMR and other AWS services. Good experience on Spark-EMR

Experience in Snowflake/Redshift

Good idea of AWS system engineering aspects of setting up CI-CD pipelines on AWS using Cloudwatch, Cloudtrail, KMS, IAM IDC, Secret Manager, etc

Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with the worldwide AWS solution architect community

PFB Walkin Details-

Address-HCL Tech, Elcot SEZ, Chennai, Sholinganallur

Time- 9 AM to 12PM

Date- 22nd March

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