Akkodis
Big Data/Hadoop Engineer
Akkodis, Plano, Texas, us, 75086
Akkodis is seeking a
Big Data/Hadoop Engineer
for a
Contract job
with a client in
Plano, TX (Hybrid).
The role involves collaborating with the data science team to create data analytics pipelines and analyzing large datasets to uncover valuable insights.
Rate Range:
$62/hour to $65/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Big Data/Hadoop Engineer job responsibilities include:
Developing and maintaining data pipelines using ETL processes. Implementing and managing Apache Hadoop solutions for large-scale data processing. Collaborating with the data science team to design and implement data analytics pipelines. Analyzing vast datasets to extract actionable insights. Translating complex technical requirements into detailed, efficient designs. Exploring and recommending alternatives for data storage and processing to optimize performance. Mentoring junior staff by conducting technical training sessions and reviewing project outputs. Ensuring seamless integration of data pipelines to support business objectives. Utilizing visualization tools like Tableau to communicate data findings effectively. Desired Qualifications:
Bachelor's degree in computer science, Engineering, or a related field. 3+ years of experience in Big Data engineering, Hadoop, or related fields. Strong experience with Python, Spark, and Hive for data pipeline development. Proficiency in data warehousing, data modeling techniques, and streaming frameworks like Kafka. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
aditya.singh@
akkodisgroup.com
.
Pay Details:
$62.00 to $65.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-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
Big Data/Hadoop Engineer
for a
Contract job
with a client in
Plano, TX (Hybrid).
The role involves collaborating with the data science team to create data analytics pipelines and analyzing large datasets to uncover valuable insights.
Rate Range:
$62/hour to $65/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Big Data/Hadoop Engineer job responsibilities include:
Developing and maintaining data pipelines using ETL processes. Implementing and managing Apache Hadoop solutions for large-scale data processing. Collaborating with the data science team to design and implement data analytics pipelines. Analyzing vast datasets to extract actionable insights. Translating complex technical requirements into detailed, efficient designs. Exploring and recommending alternatives for data storage and processing to optimize performance. Mentoring junior staff by conducting technical training sessions and reviewing project outputs. Ensuring seamless integration of data pipelines to support business objectives. Utilizing visualization tools like Tableau to communicate data findings effectively. Desired Qualifications:
Bachelor's degree in computer science, Engineering, or a related field. 3+ years of experience in Big Data engineering, Hadoop, or related fields. Strong experience with Python, Spark, and Hive for data pipeline development. Proficiency in data warehousing, data modeling techniques, and streaming frameworks like Kafka. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at
aditya.singh@
akkodisgroup.com
.
Pay Details:
$62.00 to $65.00 per hour
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, 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.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-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