AB Initio

Capgemini; Maharashtra; On-site; INR 700,000 - 1,200,000; Full time

Job summary

Capgemini is seeking a Data Engineer to build and maintain reliable and scalable data infrastructure. Key responsibilities include supporting teams to develop systems that derive insights and enable data-driven decisions. Ideal candidates will possess expertise in various tools such as AWS and Azure, emphasizing skills like Ab Initio, Apache Hadoop, and data modeling. This position is based in Maharashtra, India.

Responsibilities

• Support the team in building and maintaining data infrastructure and systems within an organization.

Skills

Ab Initio

Agile (Software Development Framework)

Apache Hadoop

AWS Airflow

AWS Athena

AWS Code Pipeline

AWS EFS

AWS EMR

AWS Redshift

AWS S3

Azure ADLS Gen2

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Azure Event Hub

Azure Stream Analytics

Azure Sunapse

Bitbucket

Change Management

Client Centricity

Collaboration

Continuous Integration and Continuous Delivery (CI/CD)

Data Architecture Patterns

Data Format Analysis

Data Governance

Data Modeling

Data Validation

Data Vault Modeling

Database Schema Design

Decision-Making

DevOps

Dimensional Modeling

GCP Big Table

GCP BigQuery

GCP Cloud Storage

GCP DataFlow

GCP DataProc

Git

Google Big Table

Google Data Proc

Greenplum

HQL

IBM Data Stage

IBM DB2

Industry Standard Data Modeling (FSLDM)

Industry Standard Data Modeling (IBM FSDM)

Influencing

Informatica IICS

Inmon methodology

JavaScript

Jenkins

Kimball

Linux - Redhat

Negotiation

Netezza

NewSQL

Oracle Exadata

Performance Tuning

Perl

Platform Update Management

Project Management

PySpark

Python

R

RDD Optimization

SantOs

SaS

Scala Spark

Shell Script

Snowflake

SPARK

SPARK Code Optimization

SQL

Stakeholder Management

Sun Solaris

Synapse

Talend

Teradata

Time Management

Ubuntu

Vendor Management

Job description

Overview

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Role

The role support the team in building and maintaining data infrastructure and systems within an organization.

Skills (competencies)

• Ab Initio
• Agile (Software Development Framework)
• Apache Hadoop
• AWS Airflow
• AWS Athena
• AWS Code Pipeline
• AWS EFS
• AWS EMR
• AWS Redshift
• AWS S3
• Azure ADLS Gen2
• Azure Data Factory
• Azure Data Lake Storage
• Azure Databricks
• Azure Event Hub
• Azure Stream Analytics
• Azure Sunapse
• Bitbucket
• Change Management
• Client Centricity
• Collaboration
• Continuous Integration and Continuous Delivery (CI/CD)
• Data Architecture Patterns
• Data Format Analysis
• Data Governance
• Data Modeling
• Data Validation
• Data Vault Modeling
• Database Schema Design
• Decision-Making
• DevOps
• Dimensional Modeling
• GCP Big Table
• GCP BigQuery
• GCP Cloud Storage
• GCP DataFlow
• GCP DataProc
• Git
• Google Big Tabel
• Google Data Proc
• Greenplum
• HQL
• IBM Data Stage
• IBM DB2
• Industry Standard Data Modeling (FSLDM)
• Industry Standard Data Modeling (IBM FSDM))
• Influencing
• Informatica IICS
• Inmon methodology
• JavaScript
• Jenkins
• Kimball
• Linux - Redhat
• Negotiation
• Netezza
• NewSQL
• Oracle Exadata
• Performance Tuning
• Perl
• Platform Update Management
• Project Management
• PySpark
• Python
• R
• RDD Optimization
• SantOs
• SaS
• Scala Spark
• Shell Script
• Snowflake
• SPARK
• SPARK Code Optimization
• SQL
• Stakeholder Management
• Sun Solaris
• Synapse
• Talend
• Teradata
• Time Management
• Ubuntu
• Vendor Management