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A leading company is seeking a Data Engineer with expertise in Spark and Scala for a full-time remote position. The ideal candidate will provide technical expertise in data modeling and movement, ensuring adherence to established guidelines. Responsibilities include translating business needs into technical solutions and optimizing data architecture. Strong experience with Python and ETL processes is essential.
We have urgent requirements for our direct client, please go through the below Job Description. If you are interested please send me your updated word format resume to Sudi.reddy@exlservice.com and reach me @ 520-231-4672.
Role: Data Engineer with expertise in Spark and Scala
Location: Remote
Duration: Full Time
Job Description:
Candidate should Provide technical expertise in needs identification, data modelling, data movement, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively
8+ Years of experience as a Data Engineer
Strong technical expertise in Spark and Scala is must
Strong experience with Python
Strong expertise in ETL process and with various data model concepts
Knowledge of star schema and a snowflake schema
Good to have knowledge on AWS services such as S3, Athena, Glue, EMR/Spark with major emphasis on S3 and Glue
Experience with Big Data Tools and technologies
Key Skills:
Strong technical expertise in Spark and Scala is must
Good Understating of data structures and data analysis using Python
Responsibilities:
Understand and translate business needs into data models supporting longterm solutions.
Analyze data-related system integration challenges and propose appropriate solutions.
Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value).
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Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Disability insurance
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