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DE&A - Core - AWS Data Engineer DE&A - Core - AWS Data Engineer

DE&A - Core - AWS Data Engineer DE&A - Core - AWS Data Engineer

Zensar

6 - 11 years

2 - 13 Lacs

kolkata mumbai new delhi hyderabad pune chennai bengaluru

Posted:1 week ago| Platform:

Apply

Skills Required

computer science performance tuning data modeling machine learning data processing data quality informatica information technology sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled

AWS Data Engineer

with strong expertise in designing, building, and optimizing large-scale data pipelines and data lake/warehouse solutions on AWS. The ideal candidate will have extensive experience in

data engineering, ETL development, cloud-based data platforms, and modern data architecture practices

Key Responsibilities

Design, build, and maintain scalable

data pipelines and ETL workflows

using AWS services.

Develop, optimize, and maintain

data lake and data warehouse solutions

(e.g., S3, Redshift, Glue, Athena, EMR, Snowflake on AWS).

Work with structured and unstructured data from multiple sources, ensuring

data quality, governance, and security

Collaborate with data scientists, analysts, and business stakeholders to enable

analytics and AI/ML use cases

Implement

best practices

for data ingestion, transformation, storage, and performance optimization.

Monitor and troubleshoot data pipelines to ensure reliability and scalability.

Contribute to

data modeling, schema design, partitioning, and indexing strategies

Support

real-time and batch data processing

using tools like Kinesis, Kafka, or Spark.

Ensure compliance with

security and regulatory standards

(IAM, encryption, GDPR, HIPAA, etc.).

Required Skills & Experience

6+ years

of experience in Data Engineering, with at least

3+ years on AWS

cloud ecosystem.

Strong programming skills in

Python, PySpark, or Scala

Hands-on experience with

AWS services

Data Storage: S3, DynamoDB, RDS, Redshift

Data Processing: Glue, EMR, Lambda, Step Functions

Query & Analytics: Athena, Redshift Spectrum, QuickSight

Streaming: Kinesis / MSK (Kafka)

Strong experience with

SQL

(query optimization, stored procedures, performance tuning).

Knowledge of

ETL/ELT tools

(Glue, AWS Data Pipeline, Informatica, Talend, DBT preferred).

Experience with

data modeling

(dimensional, star/snowflake schema).

Knowledge of

DevOps practices

for data (CI/CD, IaC using Terraform/CloudFormation).

Familiarity with

monitoring & logging

tools (CloudWatch, Datadog, ELK, Prometheus).

Strong understanding of

data governance, lineage, cataloging

(Glue Data Catalog, Collibra, Alation).

Preferred Skills (Good to Have)

Experience with

Snowflake, Databricks, or Apache Spark on AWS

Exposure to

machine learning pipelines

(SageMaker, Feature Store).

Knowledge of

containerization & orchestration

(Docker, Kubernetes, ECS, EKS).

Exposure to

Agile methodology

and

DataOps practices

AWS

certifications

(AWS Certified Data Analytics Specialty / Solutions Architect / Big Data).

Education

Bachelor s/Master s degree in

Computer Science, Information Technology, Data Engineering, or related field

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