Position Details

Salary $179K – $204K USD / year

Type Full-Time

Experience lead

Exp. Years 4+ years

Education Bachelor's Degree

Category Data & Analytics

About this role

Lead Data Engineer at a bank technology environment, responsible for designing and delivering cloud-based data solutions and pipelines to support analytics and decision-making.

Key Responsibilities

Collaborate with Agile teams to design, develop, test, implement and support technical solutions
Work with a team of developers with ML, distributed microservices, and full stack systems
Use Java/Scala/Python and SQL with Redshift/Snowflake
Perform unit tests and code reviews
Mentor engineering team

Technical Overview

Stack includes Java, Python, Scala; big data tools such as Hadoop, Spark, Kafka, Hive, MapReduce; cloud platforms AWS/Azure/Google Cloud; data warehouses Redshift and Snowflake; NoSQL (Mongo/Cassandra); Linux; Agile practices.

Ideal Candidate

The ideal candidate is a lead-level data engineer with 4+ years of applying data engineering in banking/financial services, strong cloud experience (AWS/Azure/Google Cloud), and hands-on with Redshift/Snowflake and big data tools (Hadoop, Spark, Kafka).

Must-Have Skills

Bachelor's Degree4+ years of application development2+ years of big data technologies1+ year experience with cloud computing (AWSMicrosoft AzureGoogle Cloud)

Nice-to-Have Skills

7+ years of application development experience4+ years of cloud (AWSMicrosoft AzureGoogle Cloud)4+ years distributed data/tools (MapReduceHadoopHiveEMRKafkaSparkGurobior MySQL)4+ years real-time data/streaming4+ years NoSQL (MongoCassandra)4+ years data warehousing (Redshift or Snowflake)4+ years UNIX/Linux including shell scripting2+ years Agile engineering practices

Tools & Platforms

JavaScalaPythonSQLNoSQLRDBMSAmazon Web ServicesAWSMicrosoft AzureGoogle CloudGoogle Cloud PlatformRedshiftSnowflakeHadoopKafkaSparkMapReduceEMRMongoDBMongoCassandraLinux

Required Skills

Bachelor's Degree4+ years of application development2+ years of big data technologies1+ year cloud computing (AWSMicrosoft AzureGoogle Cloud)JavaScalaPythonSQLNoSQLRDBMSMapReduceHadoopHiveEMRKafkaSparkRedshiftSnowflakeMongoCassandraLinuxAgile

Hard Skills

JavaScalaPythonSQLNoSQLRDBMSRedshiftSnowflakeHadoopKafkaSparkMapReduceEMRMongoCassandraLinuxAgileAWSAmazon Web ServicesMicrosoft AzureGoogle Cloud

Soft Skills

collaborationmentoringcommunicationproblem-solvingteamworktime managementadaptabilityleadership

Industry & Role

Industry Banking

Job Function Design and deliver cloud-based data engineering solutions for large-scale financial services applications

Role Subtype Data Engineer

Tech Domains Amazon Web Services, Google Cloud Platform, Microsoft Azure, Linux, Hadoop, Kafka, Spark, SQL / PostgreSQL, NoSQL

Keywords for Your Resume

Lead Data EngineerData EngineerBig dataJavaScalaPythonSQLNoSQLRDBMSRedshiftSnowflakeHadoopKafkaSparkMapReduceEMRMongoCassandraLinuxAgileAWSAmazon Web ServicesMicrosoft AzureGoogle Cloud

Deal Breakers

No Bachelor's degree, Less than 4 years of application development, No cloud experience (AWS/Azure/Google Cloud)

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Lead Data Engineer (Bank Tech)

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