Senior Data Engineer

Role - Data Engineer

Experience - 3+ 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.