SQL Data Engineer - Leading Financial Institution

Do you have a passion for working with big data and building scalable data pipelines? Are you an expert in data engineering tools like Hadoop, Spark, and Kafka? If so, we want to hear from you!

A leading financial institution is seeking a highly skilled Big Data Engineer to join our growing Data Engineering team. In this role, you will play a critical part in designing, developing, and maintaining robust data pipelines to process and analyze large datasets in support of our business needs.

Responsibilities:

• Design, develop, and implement big data solutions using Hadoop, Spark, and other related technologies.

• Work with data architects to understand business requirements and translate them into technical specifications for data pipelines.

• Develop and maintain scalable data ingestion pipelines using tools like Kafka and Flume.

• Process and transform large datasets using tools like Hive, Pig, and Spark SQL.

• Perform data quality checks and ensure data integrity throughout the data pipeline.

• Collaborate with data analysts and data scientists to provide access to the data they need for analysis.

• Monitor and maintain the health and performance of big data infrastructure.

• Stay up-to-date on the latest big data technologies and trends.

Qualifications:

• 5+ years of experience in data engineering, software development, or a related field.

• Demonstrated proficiency in SQL (minimum 6 years of experience) with a strong understanding of relational database concepts and querying techniques.

• Proven experience with big data technologies such as Hadoop (YARN, HDFS, MapReduce), Spark (Spark Streaming, Spark SQL), and Kafka.

• Experience with data warehousing concepts and data modeling techniques.

• Experience with scripting languages like Python, Shell, or Bash.

• Experience with cloud platforms (AWS, Azure, GCP) a plus.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• Ability to work independently and as part of a team.

Benefits:

The company offers a competitive benefits package, including health insurance, dental insurance, vision insurance, life insurance, disability insurance, retirement savings plan, paid time off, and more.

To Apply:

If you are a highly motivated and results-oriented data engineering professional with a passion for big data, we encourage you to apply! Please submit your resume and cover letter for consideration.

Note: Due to the nature of this role, a background check will be required.

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2022 ManpowerGroup was named one of the World's Most Ethical Companies for the 13th year - all confirming our position as the brand of choice for in-demand talent.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.