HCLTech is looking for a highly talented and self- motivated Big Data Developer with experience in Spark/Scala/Hive to join it in advancing the technological world through innovation and creativity.
Job Title: Big Data Developer with experience in Spark/Scala/Hive
Job ID: 1454169BR
Position Type: Full-time
Location: Tampa, FL, USA (Hybrid)
Job Description:
- Good Big Data resource with the below Skillset:
Spark
Scala
Hive/HDFS/HQL
- Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.)
- Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be an advantage.
- Consistently demonstrates clear and concise written and verbal communication
- A history of delivering against agreed objectives
- Ability to multi-task and work under pressure
- Demonstrated problem solving and decision-making skills
- Excellent analytical and process-based skills, i.e. process flow diagrams, business modelling, and functional design.
· In addition, this position qualifies for benefits like health insurance, paid time off (PTO), 401(K). Exact compensation may vary based on skills, experience, education, and/or to comply with federal or state law.
How You’ll Grow
At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Equality & Opportunity for All
Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.
