出海雷达

数据工程师

Data Engineer

开发工程限定地区(需当地身份)
公司Value1
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间4 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Senior Associate L1 Data Engineering
Publicis Sapient Overview
We at Publicis Sapient, enable our clients to thrive in Next and to create
business value through expert strategies, customer-centric experience design,
and world-class product engineering.
The future of business is disruptive, transformative and becoming digital to the
core.
In our 20 + years in IT, never before have we seen such a dire need for
transformation in every major industry - from financial services to automotive,
consumer products, retail, energy, and travel.
To make this transformative journey a reality in these exciting times, we seek
thought leaders and rock stars who will:

  • brave it out to go do the next; what will be from what is
  • exhibit the optimism that says there is no limit to what we can achieve
  • deeply-skilled, bold, collaborative, flexible
  • Reimagine the way the world works to help businesses improve the

daily lives of people and the world.
Our people thrive because of the belief that it is both our privilege and
responsibility to usher our clients and the world into Next.
Our work is fueled by
- challenging boundaries,
- multidisciplinary collaboration,
- highly agile teams, and

  • the power of the newest technologies and platforms.

If thats you, come talk to us!
This is the world-class engineering team where you should build your career.
Job Summary:
As Senior Associate L1 in Data Engineering, you will do technical design, and
implement components for data engineering solution. Utilize deep
understanding of data integration and big data design principles in creating
custom solutions or implementing package solutions. You will independently
drive design discussions to insure the necessary health of the overall solution
The role requires a hands-on technologist who has strong programming
background like Java / Scala / Python, should have experience in Data
Ingestion, Integration and data Wrangling, Computation, Analytics pipelines
and exposure to Hadoop ecosystem components. Having hands-on knowledge
on at least one of AWS, GCP, Azure cloud platforms will be preferable.
Role & Responsibilities:
Job Title: Senior Associate L1 Data Engineering
Your role is focused on Design, Development and delivery of solutions
involving:
Data Ingestion, Integration and Transformation
Data Storage and Computation Frameworks, Performance
Optimizations
Analytics & Visualizations
Infrastructure & Cloud Computing
Data Management Platforms
Build functionality for data ingestion from multiple heterogeneous
sources in batch & real-time
Build functionality for data analytics, search and aggregation
Experience Guidelines:
Mandatory Experience and Competencies:
# Competency
1. Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies
2. Minimum 1.5 years of experience in Big Data technologies
3. Hands-on experience with the Hadoop stack HDFS, sqoop, kafka, Pulsar, NiFi, Spark,
Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in
building end to end data pipeline. Working knowledge on real-time data pipelines is added
advantage.
4. Strong experience in at least of the programming language Java, Scala, Python. Java
preferable
5. Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb,
Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc
Preferred Experience and Knowledge (Good to Have):
# Competency
1. Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database
technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience
2. Knowledge on data governance processes (security, lineage, catalog) and tools like
Collibra, Alation etc
3. Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace,
search & indexing and Micro services architectures
4. Performance tuning and optimization of data pipelines
5. CI/CD Infra provisioning on cloud, auto build & deployment pipelines, code quality
6. Working knowledge with data platform related services on at least 1 cloud platform, IAM
and data security
7. Cloud data specialty and other related Big data technology certifications
Job Title: Senior Associate L1 Data Engineering
Personal Attributes:
Strong written and verbal communication skills
Articulation skills
Good team player
Self-starter who requires minimal oversight
Ability to prioritize and manage multiple tasks
Originally posted on Himalayas

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