Senior Data Engineer - C2H

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. 

We enable #HumanFirstDIGITAL

Job Description - Senior Data Engineer - C2H - Princeton, NJ - Onsite

We are looking for a Senior Data Engineer to expedite our Data Platform Stack to support our developers, database architects, data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects in a dynamic environment.

Responsibilities

• Analyze and interpret complex data sets. Ability to identify data anomalies and resolve data issues

• Understand specific business processes and domain concepts and relate them to data subject domains 

• Collaborate with Data Leads, Data Analysts and QA analysts to validate requirements, participate in user requirement sessions

• Perform tests and validate data flows and prepare ETL processes according to business requirements

• Perform ETL tuning and SQL tuning

• Ability to document data flows representing business logic in ETL routines

• Design and implement data conversion strategy from legacy to new platforms

• Perform design validation, reconciliation, and error handling in data load processes

• Design and prepare technical specifications and guidelines including ER diagrams and related documents Qualifications

• Must be well versed with Data warehousing concepts including design patterns (Star schemas, Snowflake design schemas). Must be aware of data modeling concepts including the data modeling Normal forms

• Knowledge of AWS Infrastructure including S3, SNS, Ec2, CloudWatch and RDS

• 8-9 years working in ETL/Data transformation projects with one or more related products such as Informatica or Talend or Microsoft SSIS

• 8+ years working in business intelligence, data warehousing initiatives

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases like Oracle or Ms Sql Server or Vertica.

• Good to have at least 1+ years working with Matillion ELT tool and Snowflake Database

• Good to have experience in building AWS Data Pipelines using Python or Spark, SparkSQL in any of Cloud Environments (AWS / Azure / Google).

• Good to have - Experience with any of the NoSQL datastores such as ElasticSearch, MongoDB, DynamoDB, Cassandra

Education

• Bachelor’s in mathematics, Computer Science or related technical field. Post graduate degree preferred. Minimum 7+ years of relevant experience.