We are seeking a motivated and data-savvy Pyspark Bigdata Developer r to join our growing team. This role is perfect for an individual passionate about data, with foundational skills in both software development and quality assurance. The successful candidate will be responsible for developing and testing data-centric applications, with a strong focus on writing complex Strong programming skills in PySpark and Python in a BigData environment. This hybrid role offers a unique opportunity to work across the entire data lifecycle, from development and testing of data pipelines to delivering actionable insights through BI tools.
Responsibilities:
Strong programming skills in PySpark in a BigData environment.
Familiarity with big data processing tools and techniques.
Experience with the Hadoop ecosystem including Hive, HDFS, Sqoop, Spark, Impala, Scala, etc.,Well versed with shell scripting and Autosys scheduler.
Good understanding of distributed systems.
Should be familiar with data warehouse concepts.
Experience with streaming data platforms.
Excellent analytical and problem-solving skills.
Experience with writing complex SQL queries.
Knowledge on data modeling and data design is essential.
Should be independent and resourceful dealing with risks/issues and resolving them in a timely manner.
Excellent communication and articulation skills.
Skills
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Pyspark : Strong programming skills in PySpark in a BigData environment.
SQL: Strong proficiency in writing and optimizing complex SQL queries. Experience with a major relational database system (e.g., SQL Server, Hive, Impala
ETL Concepts: Basic understanding of ETL (Extract, Transform, Load) processes and data pipeline concepts.
Testing: Familiarity with data quality and testing methodologies.
Version Control: Experience with version control systems, such as Git.
Qualifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
Minimum 4 years of experience in a role involving data development, database management, or software quality assurance.
Strong understanding of relational databases and data warehousing concepts.
Foundational knowledge of at least one programming language (SQL,Pyspark,Python)
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Education:
Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
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