Data Engineer

Role - Data Engineer

Experience - 2+ Yrs

Location - Bangalore

Roles and Responsibilities:

Create and maintain optimal data pipeline architecture

Create and maintain events/streaming based architecture/design

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.

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 scientists to strive for greater functionality in our data systems.

Mandatory Qualifications:

Proficiency in either Scalar or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is also Mandatory.

We are looking for a candidate with 2+ years of experience in a Data Engineer role.

Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.

Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with AWS /GCP cloud services

Experience with stream-processing systems: Spark-Streaming/Flink etc.

Experience with object-oriented/object function scripting languages: Java, Scala, etc.

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

Strong analytic skills related to working with structured/unstructured datasets.

Build processes supporting data transformation, data structures, dimensional modeling, metadata, dependency, schema registration/evolution and workload management.

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

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

Have a few weekend side projects up on GitHub

Have contributed to an open-source project

Have worked at a product company

Have a working knowledge of a backend programming language

Programming Language (Mandatory) → Candidate should be really good in either Scala OR Python (not necessarily both).

Used mainly for writing data pipelines and transformations.

Big Data Framework (Mandatory) → Strong hands-on expertise in Apache Spark.

Must know how to write Spark jobs and also tune/optimize them for better performance (not just basic Spark usage).

Performance Tuning & Optimization (Mandatory) →

Able to handle large datasets efficiently.

Optimize Spark jobs (partitions, shuffles, caching, memory usage, etc.)

DBT (Mandatory) →

Must have hands-on experience with dbt (Data Build Tool) for data transformations and data modeling.

This is often used on top of warehouses like BigQuery, Snowflake, Redshift.