Primary Responsibilities:

Proven expertise in SQL, Spark Python, Scala, Hadoop ecosystem,
Have worked on multiple TBs/PBs of data volume from ingestion to consumption.
Work with business stakeholders to identify and document high impact business problems and potential solutions
First-hand experience with the complete software development life cycle including requirement analysis, design, development, deployment, and support
Advanced understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera,hortonworks) and AWS
Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability
A suitable candidate will also be proficient Spark, Spark Streaming, AWS, and EMR
A suitable candidate will also demonstrate machine learning experience and experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc.
The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases.
Advanced skills in technical debugging of the architecture in case of issues
Creating Technical Design Documentation (HLD/LLD) of the projects/pipelines

Secondary Responsibilities:

Ability to work independently and handle your own development effort.
Excellent oral and written communication skills Learn and use internally available analytic technologies\
Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions.
Use educational background in data engineering and perform data mining analysis.
Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points.
Engage in the delivery and presentation of solutions.

Key Success Metrics:

Education: Graduation: Bachelor’s in engineering / technology / Maths / Commerce / Arts / Science / Biology / Business / Computers / Management

Sr. DE - Data Platforms