Data Engineer- Associate Job in Themathcompany

Job Description

Position description: As a data engineer, you ll have an opportunity to work on the universe of data and solve some very interesting problems by creating and maintaining scalable data pipelines dealing with petabytes of data. All our projects entail working on cutting edge technologies, petabyte scale data processing systems, data warehouses and data lakes to help manage the ever-growing information needs of our customers.

Primary Responsibilities:

• Build & maintain data pipelines to support large scale data management in alignment with data strategy and data processing standards
• Experience in designing efficient and robust ETL workflows
• Experience in Database programming using multiple flavor of SQL
• Deploy scalable data pipelines for analytical needs
• Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud (Dataproc/EMR/HDInsight)
• Worked on query languages/tools such as Hadoop, Pig, SQL, Hive, Sqoop and SparkSQL.
• Experience in any orchestration tool such as Airflow/Oozie for scheduling pipelines
• Scheduling and monitoring of Hadoop, Hive and Spark jobs
• Basic experience in cloud environments (AWS, Azure, GCP)
• Understanding of IN memory distributed computing frameworks like Spark (and/or DataBricks) and its parameter tuning, writing optimized queries in Spark
• Experience in using Spark Streaming, Kafka and Hbase
• Experience working in an Agile/Scrum development process
• 2 to 4 years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming

Additional Responsibilities:

• Exposure to latest cloud ETL tools such as Glue/ADF/Dataflow is a plus
• Expertise in data structures, distributed computing, manipulating and analyzing complex high-volume data from variety of internal and external sources
• Experience in building structured and unstructured data pipelines
• Proficient in programming language such as Python/Scala
• Good understanding of data analysis techniques
• Solid hands-on working knowledge of SQL and scripting
• Good understanding of in relational/dimensional modelling and ETL concepts
• Understanding of any reporting tools such as Tableau, Qlikview or PowerBI

Reporting Team

• Reporting Designation:
• Reporting Department: Data Engineering (DE)
  

Educational qualifications preferred

• Category: Bachelor's Degree, Master's Degree
  
• Field specialization:
• Degree: Bachelor of Engineering - BE, Bachelor of Science - BS, Master of Engineering - MEng, Master of Science - MS
  
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