Data Engineer- Python, Aws, Redshift, SQL- (5-8 Years)- Multiple Locations
An exciting opportunity for someone who has more than 5 years of experience in Python, SQL, AWS, Redshift.
Location-PAN INDIA
Your future employer-Providesservices in the following industries: BPO, Automation, Benchmarking, Insurance, Finance & Accounting, Healthcare, Transportation, Banking, and Financial services.
Responsibilities-
To perform Analytical strategies to satisfy business objectives.
To do the analytical solutions' technical specifications.
The person will work with different stakeholders as SME for data engineering.
The person have to work with stakeholders in individual contributor is a normal workday activity.
The individual will be a member of a significant insurance client's data science team.
Requirements-
Must have 5+ years of experience in data engineering tasks related to analytics, Oracle, ETL, and Python.
Big data management and transformation experience utilizing PySpark and Spark-Scala is required.
Must have the knowledge of AWS services, including Glue, Lambda, EMR, Redshift, and RDS.
Expertise in data base management, Hadoop/Spark, SQL, HIVE, and Python.
What is in it for you-
A stimulating working environment with equal employment opportunity
Growing skills while working with industry leaders and top brands
A meritocratic culture with great career progression
Reach us- If you feel that you are the right fit for the role please share your updated CV at adhish.arya@crescendogroup.in
Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Profile Keywords- AWS, DATAENGINEER, PYTHON, ANTHENA, GLUE, REDSHIFT, LAMBDA.