Job Description

1. Big Data Engineer/ Lead/ Associate Architect

:

Must have:

Bachelors Degree in Engineering.

Strong expertise in SQL

Strong expertise in one or more Big Data Querying technologies - Hive, SparkQL, Impala, Presto, Pheonix

Strong analytical, problem-solving, data analysis and research skills.

Ability to work with various business teams to resolve technical challenges and understand requirements.

Demonstrable ability to interact, collaborate, drive consensus and confidence among different (of our) groups both on-shore and off-shore.

Demonstrable ability to think outside of the box and not be dependent on readily available tools

Good to have:

Good to have exposure of Hadoop Data Lakes created using these distribution (Cloudera, HortonWorks, MapR, EMR, HDInsight, DataProc)

Exposure of the Analytics stack of any Public Cloud (AWS, Azure, GCP) will be good to have

Location:

Banglore / Indore / Noida / Gurgaon / Pune / Hyderabad / Chennai / Chandigarh

Experience:

2 to 12 Years

Skills Required:

Big Data, Apache Spark, Hadoop

Roles:

Build and optimize big data pipelines, architectures and data sets.

Build processes supporting data transformation, data structures, data ingestion, metadata, dependency and workload management.

Should be able to understand, create, modify and optimize SQLs.

Should be able to work on SQL engines, Cloud Data warehouses

Should be able to perform data validation

Should be able to automate SQL transformations in the product.

Work closely with Solution Architect/ Architect to drive solutions architecture, systems and interface design, data analysis, scenario and use case analysis).