Senior Data Engineer (5+ Years) | Short Notice Preferred

ROLE DESCRIPTION

As a data engineer, youll 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.

The responsibilities are detailed as below:

• 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 and Python
• 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

REQUIRED QUALIFICATIONS

We are looking for individuals who are curious, excited about learning, and navigating through the uncertainties and complexities that are associated with growing a company. Some qualifications that we think would help you thrive in this role are:

• BE/BS/MTech/MS in computer science or equivalent work experience
• 4 to 10 years of experience in building data processing applications using Hadoop, Spark and NoSQL DB and Hadoop streaming

PREFERRED QUALIFICATIONS

• 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

Must-Have: Minimum 4 years of Hands-On experience in Python, SQL, Big Data Spark, and any of the Cloud Technologies (AWS/Azure/GCP)

Short notice to max 45 days is preferable!