Offer summary

Qualifications:

Bachelor's degree, At least 7 years in data engineering role, Strong experience with SQL and ETL, Familiarity with large complex data systems.

Key responsabilities:

Transform transactional data into consumable datasets

Work with data warehousing team for reporting and analytics

We are a Recruiting, Staffing and Talent Acquisition firm based out of Ashburn, VA. We specialize in providing outbound and inbound TA strategies to our small-medium clients in leading industry verticals like federal systems integrators and companies in the tech sector. With a CAGR of over 700% since 2010 and a three-year growth rate of 248% since 2012, we have been named to Inc's fastest-growing companies and Entrepreneur magazine's "Best Entrepreneur company". Our mantra at Param is "solving our customers toughest challenges" and our mission is multi-fold. We are passionate about helping our customers find talent on time and save them 60-80% of their hiring costs. Secondly, we are incredibly keen on recruiting and staffing our customer's projects with the best available talent using our decades of talent acquisition expertise and global footprint. We have partnered with various small-medium businesses (SMB) over the years and successfully delivered IT staffing, recruiting and talent acquisition solutions for their critical and time-sensitive missions.

Job description

Clearance: Active DHS Public Trust or similar clearance that will gain reciprocity

What You'll Be Doing

The Senior Data Engineer will work with our data warehousing team to transform transactional data into datasets that are consumable by a variety of consumers, for reporting and analytics. The successful candidate will be flexible and forward-leaning, able to learn new tools and skills, and able to learn new data domains as the data warehouse grows.

Required Skills and Experience:

Bachelor’s degree plus at least 7 years in a data engineering role including ETL development, database development, data integration, data mining, big data
Strong experience developing and maintaining complex SQL for ETL and reporting
Strong experience with large complex data systems
Experience performing database administration tasks (manage scheduled jobs, cluster configurations)
Experience performing software administration tasks (deploy applications, manage scheduled tasks)
Ability to learn new tools quickly as needed to provide new ideas for solving problems
Ability and desire to work with other program staff and customers to reach design decisions within given constraints
Excellent diplomacy and communication skills with both clients and technical staff

Preferred Skills and Experience:

Proficiency in Python and Scala
Experience using Spark and Hive
Experience with Qlik or other data visualization administration
Experience completing Databricks development and/or administrative tasks
Familiarity with some of these tools: DB2, Oracle, SAP, Postgres, Elastic Search, Glacier, Cassandra, DynamoDB, Hadoop, Splunk, SAP HANA, Databricks
Experience working with federal government clients

Required profile