Hadoop Informatica Developer

Akkodis is seeking Hadoop Developer for a Contract job with a client in Plano, TX / Atlanta/GA/Chandler, AZ- Hybrid (3 days onsite in a Week). Ideally looking for applicants with a solid background in the financial services industry.

Pay: $63-65/hour – All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors.

Must have Skill Set:

10 years of IT exp

Hadoop, Informatica, Linux, PL/SQL, Production Support

As a Hadoop & ETL Developer to support production (L3) in Treasury ADS, individual will be responsible for understanding design, propose high level and detailed design solutions, propose out of box technical solutions for resolving business problems and technical problems arise during the real time in production. Individual should be flexible to work on the weekends at least once in a month. May get comp-off during weekdays. As an individual contributor in BAU, person should have good analytical skills to take a quick decision during the tough times. Engage in discussions with information architecture team for coming out with design solutions, proposing new technology adoption ideas, attending project meetings, partnering with near shore and offshore teammates in a matrix environment, coordinating with other support teams like L2, development, testing, upstream and downstream partners, etc.

Primary Skill

Hadoop

Secondary Skill

Spark

Tertiary Skill

Python

Required Skills

• Strong working knowledge of ETL, database technologies, big data and data processing skills

• 3 years of experience developing applications using Hadoop, Spark, Impala, Hive & Python.

• 3 years of experience in running, using and troubleshooting the ETL & Cloudera Hadoop Ecosystem i. e. Hadoop FS, Hive, Impala, Spark, Kafka, Hue, Oozie, Yarn, Sqoop, Flume.

• Experience on Autosys JIL scripting.

• Proficient scripting skills i.e. Unix shell & Perl Scripting

• Experience troubleshooting data-related issues.

• Experience processing large amounts of structured and unstructured data with MapReduce.

• Experience in SQL and Relation Database developing data extraction applications.

• Experience with data movement and transformation technologies.

• Good to have experience in Python / Scala programming

Desired Skills

• Have a good understanding of the E2E process of the application

• Have a good understanding of all aspects of the application like upstream, database model, data processing and data distribution layers.

If you feel this is not something that you are currently interested in, but know of someone, that might be, please share the details with them or let me know their details so I can reach out to them!

If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at aditya.singh@akkodisgroup.com

Equal Opportunity Employer/Veterans/Disabled

Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

· The California Fair Chance Act

· Los Angeles City Fair Chance Ordinance

· Los Angeles County Fair Chance Ordinance for Employers

· San Francisco Fair Chance Ordinance