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Job Description:
As a Data Engineer at Capco you will be:
Work alongside clients to interpret requirements and define industry-leading - solutions
Design and develop robust, well tested data pipelines
Demonstrate and help clients adhere to best practices in engineering and SDLC
Excellent knowledge of building event-driven, loosely coupled distributed - applications
Experience in developing both on-premise and cloud-based solutions
Good understanding of key security technologies, protocols e.g. TLS, OAuth, Encryption
Support internal Capco capabilities by sharing insight, experience and credentials
Skills & Expertise:
You will have experience working with some of the following Methodologies/Technologies:
Strong cloud provider’s experience on at least one of AWS, Azure or GCP
Hands on experience using Scala/JAVA
Experience in most of data and cloud technologies such as Hadoop, HIVE, Spark, Pig, - SQOOP, Flume, PySpark, Databricks, Cloudera, Airflow, Oozie, S3, Glue, Athena, - Terraform etc.
Experience with schema design using semi-structured and structured data structures
Experience on messaging technologies – Kafka, Spark Streaming, Amazon Kinesis
Strong experience in SQL
Good understanding of the differences and tradeoff between SQL and NoSQL, ETL and ELT
Understanding of containerisation, Graph Databases and ML Algorithms
Experience with data lake formation and data warehousing principles and technologies – BigQuery, Redshift, Snowflake
Experience using version control tool such as Git
Experiencing building CI/CD Pipelines on Jenkins, CircleCI
Enthusiasm and ability to pick up new technologies as needed to solve your problems
Why Join Capco as a Data Engineer?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
You’ll be part of digital engineering team that develop new and enhance existing financial and data solutions, having the opportunity to work on exciting greenfield projects as well as on established Tier1 bank applications adopted by millions of users.
You’ll be involved in digital and data transformation processes through a continuous delivery model.
You will work on automating and optimising data engineering processes, develop robust and fault tolerant data solutions both on cloud and on-premise deployments.
You’ll be able to work across different data, cloud and messaging technology stacks.
You’ll have an opportunity to learn and work with specialised data and cloud technologies to widen the skill set.
