Data Engineer

Overview

Senior Associate Data Engineering Level 2

The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

Your Impact:

• Data Ingestion, Integration and Transformation
• Data Storage and Computation Frameworks, Performance Optimizations
• Analytics & Visualizations
• Infrastructure & Cloud Computing
• Data Management Platforms
• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time
• Build functionality for data analytics, search and aggregation

Your Skills & Experience:

• Overall experience of 4+ years with Minimum 4 or 3.5+ years of relevant experience in Big Data technologies
• Strong experience in Python/Scala/Java functional programming language using Spark framework.
• Hands-on experience with SQL
• Well-versed and working knowledge with data platform related services on GCP/Azure
• Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.
• Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position.
• Set Yourself Apart With:

• Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

• Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

• Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

• Performance tuning and optimization of data pipelines • Cloud data specialty and other related Big data technology certifications

Benefits of Working Here:

• Gender-Neutral Policy

• 18 paid holidays throughout the year.

• Generous parental leave and new parent transition program

• Flexible work arrangements

• Employee Assistance Programs to help you in wellness and well being

Job Type: Full-time

Pay: ₹559,413.44 - ₹2,844,137.93 per year

Benefits:

• Flexible schedule
• Health insurance
• Life insurance
• Provident Fund
• Work from home

Schedule:

• Day shift
• Monday to Friday

Work Location: In person

Application Deadline: 15/04/2025