Data Engineer (Analytics)
Data Engineer (Analytics)
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Job Description
The role sits within our Decision Analytics one of our four Global Business Lines.
Experian Decision Analytics helps client achieve and sustain significant growth. We do this by enabling clients to make analytics-based customer decisions that support their strategic goals. As experts in uniting business understanding with consumer and business information analytics and strategy execution we empower clients to optimise customer value and actively manage it over time. This role therefore has clear accountability for creating measurable value within our client organisations.
What youll be doing
In this role youll be working as an Analytics Engineer within Analytics Center of Excellence on Experians internal Cloud Platform. Youll be managing data at scale and working on key initiatives such as Data Productizations where we employ different big data technologies and back/front ends to build solutions for our clients.
More about you
- Experience in data warehouse technologies data modeling and ETL development
- Experience in a high-performing large-scale technology driven environment
- Exposure in creating/maintaining Data pipeline (Apache Spark or similar) and workflow tools (Airflow or similar) for both Realtime and batch use cases. Cloud experience (Azure is preferred)
- Basic understanding of ML Deep learning Wrappers and APIs
- Experience with Big Data ML toolkits such as Mahout SparkML or H2O (Mandatory)
- Strong coding skill in SQL and (Python or Java or Scala)
- Exposure to Database architecture using RDBMS or NoSQL: Views/Tables Disk usage and relational diagram
- Excellent communication interpersonal skills and proven project management skills.
- Management of Hadoop cluster with all included services and ability to solve any ongoing issues with operating the cluster
- Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming (Good to have)
- Good knowledge of Big Data querying tools such as Pig Hive and Impala
- Experience with integration of data from multiple data sources
- Knowledge of various ETL techniques and frameworks such as Flume
- Experience with various messaging systems such as Kafka or RabbitMQ
- Good understanding of Lambda Architecture along with its advantages and drawbacks
- Experience with Cloudera/MapR/Hortonworks
- The role sits within our Decision Analytics one of our four Global Business Lines.
Experian Decision Analytics helps client achieve and sustain significant growth. We do this by enabling clients to make analytics-based customer decisions that support their strategic goals. As experts in uniting business understanding with consumer and business information analytics and strategy execution we empower clients to optimise customer value and actively manage it over time. This role therefore has clear accountability for creating measurable value within our client organisations.
What youll be doing
In this role youll be working as an Analytics Engineer within Analytics Center of Excellence on Experians internal Cloud Platform. Youll be managing data at scale and working on key initiatives such as Data Productizations where we employ different big data technologies and back/front ends to build solutions for our clients.
Qualifications :
More about you
- Experience in data warehouse technologies data modeling and ETL development
- Experience in a high-performing large-scale technology driven environment
- Exposure in creating/maintaining Data pipeline (Apache Spark or similar) and workflow tools (Airflow or similar) for both Realtime and batch use cases. Cloud experience (Azure is preferred)
- Basic understanding of ML Deep learning Wrappers and APIs
- Experience with Big Data ML toolkits such as Mahout SparkML or H2O (Mandatory)
- Strong coding skill in SQL and (Python or Java or Scala)
- Exposure to Database architecture using RDBMS or NoSQL: Views/Tables Disk usage and relational diagram
- Excellent communication interpersonal skills and proven project management skills.
- Management of Hadoop cluster with all included services and ability to solve any ongoing issues with operating the cluster
- Experience with building stream-processing systems using solutions such as Storm or Spark-Streaming (Good to have)
- Good knowledge of Big Data querying tools such as Pig Hive and Impala
- Experience with integration of data from multiple data sources
- Knowledge of various ETL techniques and frameworks such as Flume
- Experience with various messaging systems such as Kafka or RabbitMQ
- Good understanding of Lambda Architecture along with its advantages and drawbacks
- Experience with Cloudera/MapR/Hortonworks
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work in 24 countries and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion colour sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
