Capgemini

Global consulting, technology services, outsourcing

Data Engineer - Ab Initio

Data EngineeringUpdated on Nov 14

Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

Knowledge of Ab Initio, Agile software development, Apache Hadoop, AWS Airflow, AWS Athena, AWS CodePipeline, 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 Synapse, Bitbucket, 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, DevOps, dimensional modeling, GCP Bigtable, GCP BigQuery, GCP Cloud Storage, GCP Dataflow, GCP Dataproc, Git, Greenplum, HQL, IBM DataStage, IBM DB2, industry-standard data modeling (FSLDM and IBM FSDM), Informatica IICS, Inmon methodology, JavaScript, Jenkins, Kimball methodology, Red Hat Linux, Netezza, NewSQL, Oracle Exadata, performance tuning, Perl, PySpark, Python, R, RDD optimization, SunOS, SAS, Scala, Spark, shell scripting, Snowflake, Spark code optimization, SQL, Solaris, Talend, Teradata, Ubuntu, and Synapse.
Ability to support a team in building and maintaining organizational data infrastructure and systems.

Responsibilities

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

Job Description

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.

Job Description - Grade Specific

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

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

About the Company

Capgemini

Global consulting, technology services, outsourcing

Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.

Company size: 10,001+
Company stage: IPO
Headquarters: Paris, France
Founded: 1967

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