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Tier-1 brand, generalist data engineering role in Bangalore with broad skills drives high candidate competition.
Data engineering skills like ETL, Spark, Kafka and warehouses are highly transferable across industries.
Multiple mandatory data engineering skills and tech stack increase shortlisting filters.
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Design, develop, and implement scalable data pipelines and automate data validation frameworks for large-scale datasets.
Research, integrate, and optimize new data engineering tools and technologies ensuring scalability, security, and reliability in production systems.
Collaborate cross-functionally to deliver high-quality, scalable engineering solutions aligned with business goals and maintain technical documentation for data engineering solutions.
Proficient skills in Data Integration and ETL, Data Analysis, Programming (Python, R, SQL), Data Modeling, and Data Quality Management.
Experience working with Data Processing Frameworks such as Apache Hadoop and Apache Spark at a foundational level.
Knowledge of big data technologies, database design and management, data storage solutions including data warehouses and lakes, and data security practices.
Work Experience Required: Not explicitly mentioned in the JD.
Effective at independently designing and optimizing data storage and processing solutions including cloud-based systems and data lakes.
Capable of applying data-driven approaches and creative problem-solving to improve workflows and toolsets with minimal support.
Experienced in collaborating across teams to develop robust, scalable data engineering solutions that impact business outcomes.