Published date Posted on Indeed on Jun 24, 2022 (5 d ago)

Who We Are:

We are a team of highly motivated designers and engineers that help our clients at every phase of their cloud journey. We do it if it touches the cloud, involves data, or lives as an application.

Description:

We seek those passionate about working on complex problems not offered elsewhere in the industry.

As a professional in the media data space, you will be responsible for complete ownership of a client’s system, managing and growing the global team that supports it, and being a thought-leader, helping the client strategize and see through their migration to the cloud.

You’ll be responsible for expanding and optimizing the client’s data and pipeline architecture and data flow and collection for cross-functional teams. You will support software developers, database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects.

You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing the client’s data architecture to support their next generation of products and data initiatives.


Deep knowledge of the various components of the Hadoop ecosystem and Java, and experience in applying them to practical problems, is a must.

Required Qualifications:

  • Data Engineer with hands-on experience working on data pipelines and ETL in a Hadoop environment
  • Oozie, Pig, Hive, Spark, HBase, SQL
  • Java
  • Unix
  • Experience working with large structured and unstructured data sets
  • Experience with open source development processes
  • Experience with Distributed Systems and Systems Programming
  • Experience with tools including Git, JIRA, ServiceNow

Preferred Qualifications:

  • Experience with AWS, Linux, Presto, Screwdriver, RDBMS, C++
  • Understanding of Data Models (Conceptual, Logical, and Physical, Dimensional, Object, Relational, Data Model Design), Data Profiling, Root Cause Analysis
  • Good knowledge of writing queries in Teradata, DB2, Oracle, SQL, etc.

Nice to have:

  • Knowledge of any one of the following is a plus: Redis, Storm, Kafka, Splunk, Druid, Vertica, Looker, Jenkins, Groovy, Python, Scala, REST APIs, Jersey and JAX-RS, Maven, Oracle Database, NoSQL databases, geospatial data, Cassandra, Postgres, Sadana, Vespa, Sherpa, Elasticsearch, Avro, Talon, MapReduce, Azkaban, Luigi, Airflow, Spark Streaming.
  • Familiarity with GDPR, CCPA, COPPA

Additional Information:

  • TDS offers excellent compensation, benefits, and flexible working hours in a casual, open, creative environment
  • Location anywhere in the USA
  • 100% remote
  • US Citizens and Green Card holders only.
  • TDS does not accept agency resumes

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