Hiring for AWS Data Engineer - Hyderabad

Tata Consultancy Services; Hyderabad; On-site; USD 681 - 1,136; Full time

Job summary

An established industry player is seeking a passionate AWS Data Engineer to join their dynamic team. This role offers an exciting opportunity to work with cutting-edge technologies and contribute to innovative projects. You will be responsible for developing data pipelines, managing databases, and leveraging AWS services to drive data-driven decisions. If you have a strong background in data engineering and a desire to work in a collaborative environment, this position is perfect for you. Join a forward-thinking company where your skills can shine and make a significant impact on the future of technology.

Qualifications

• 5-15 years of experience in AWS Data Engineering.
• Proficient in AWS services and data modeling.

Responsibilities

• Develop and manage data pipelines using AWS services.
• Create data models and handle SQL/NoSQL databases.

Skills

AWS Services

Python

Data Modeling

SQL Databases

NoSQL Databases

Java

Hadoop

Spark

Hive

Kafka

Tools

Amazon S3

Glue

EMR

Redshift

Athena

PySpark

Job description

Direct message the job poster from Tata Consultancy Services

Passionate Talent Acquisition Specialist | 24K+ Network | Bridging the gap between talent and Opportunity #HR #aicloud #tcsjobs #tcshiring

Greetings from Tata Consultancy Services

TCS has always been in the spotlight for being adept in “the next big technologies”. What we can offer you is a space to explore varied technologies and quench your techie soul.

What we are looking for: AWS Data Engineer

Years of exp: 5-15 Years

Job Description

Skill Sets:

• Amazon S3 Buckets
• Glue
• EMR
• Redshift
• Athena
• PySpark/Python

Proficient in AWS Services like Amazon S3 Buckets, Glue, EMR, Redshift, Athena, and PySpark.

Strong experience in Python or Java.

Strong experience in creating data modeling.

Strong experience in handling databases with SQL & NoSQL Databases such as MongoDB, SQL Server, and PostgreSQL.

Understanding of Hadoop, Spark, Hive, and Kafka.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Analyst
• Industries: IT Services and IT Consulting