Data Engineer Jobs in Delhi - BLACKCOFFER

Data Engineer

BLACKCOFFER

3+ Years

50000 - 80000 Monthly

Expired

Posted: 17 Jan 22

Job Description

Data Engineer

Responsibilities: -

● Create and maintain optimal data pipeline architecture,

● Assemble large, complex data sets that meet functional / non-functional business requirements.

● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

● Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

● Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

● Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

● Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

● Work with data and analytics experts to strive for greater functionality in our data systems. Requirements: -

● Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

● Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.

● Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

● Strong analytic skills related to working with unstructured datasets.

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

● A successful history of manipulating, processing, and extracting value from large disconnected datasets.

● Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

● Strong project management and organizational skills.

● Experience supporting and working with cross-functional teams in a dynamic environment.

● We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

They should also have experience using the following software/tools:

○ Experience with big data tools: Hadoop, Spark, Kafka, etc.

○ Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

○ Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. ○ Experience with AWS cloud services: EC2, EMR, RDS, Redshift

○ Experience with stream-processing systems: Storm, Spark-Streaming, etc.

○ Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.