Live opening · Posted 27 days ago

Delivery Module Lead

Mphasis · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 27 days ago
CompanyMphasis
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
ListedPosted 27 days ago

About the role

Description supplied by the original job listing.

Job Description
Role: Data Engineer
Location : Mumbai/Bangalore/Hyderabad
Who are we looking for?
Role Overview: The Data Engineer will design, develop, and maintain scalable data pipelines hosted on AWS data services and Snowflake, proficiency in data visualization tools like Tableau and ThoughtSpot is must. Proficiency in Python.
Key Requirements
Design & Develop Pipelines:
Build and optimize data pipelines using AWS services (e.g., Glue, Lambda, EMR, Step Functions, Data Pipeline).
ETL Processes
Implement robust ETL (Extract, Transform, Load) workflows for structured and unstructured data.
Data Integration
Integrate data from various sources (databases, APIs, files) into centralized data lakes or warehouses.
Automation
Automate data ingestion, transformation, and validation processes.
Cloud Expertise
Hands-on experience with AWS data services (Glue, S3, Redshift, Lambda, EMR, Kinesis, Athena).
Programming
Proficiency in Python, SQL, and optionally Java.
Data Modeling
Strong understanding of data modeling, warehousing, and lakehouse concepts.
ETL Tools
Experience with ETL frameworks and orchestration tools (e.g., Apache Airflow, AWS Step Functions, Spark, Trino).
DevOps
Familiarity with CI/CD pipelines and infrastructure as code (Terraform, CloudFormation).
MUST: 7+ years of experience in the role of Data engineer.
MUST: BE/ME degree in Computer Science from a reputed university/college. Can consider non-CS degrees if there is strong relevant experience.
Certifications Needed
NA
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Work arrangement
No

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