Lead Associate | Data Engineering | Bengaluru | Engineering as a Service/ Operate
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level data role in Bangalore with broad skillset attracts high candidate density.
Core data engineering skills like SQL, Python and cloud are easily transferable across industries.
Explicit 3+ years requirement plus mandatory SQL/Python and cloud experience makes shortlisting strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data ingestion, transformation, and integration pipelines supporting enterprise data needs.
Collaborate with cross-functional teams to translate business requirements into technical data solutions and optimize pipeline performance and cost efficiency.
Support cloud-based data platforms, implement data governance and security standards, and contribute to process automation and operational improvements.
Minimum Requirements
Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or related field.
3+ years of experience in data engineering, software engineering, or big data development.
Proficiency in SQL and Python; experience with ETL/ELT pipelines, data warehouses/lakes, and cloud platforms like Azure, AWS, or Google Cloud.
Work Experience Required: 3+ years; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building and optimizing data engineering solutions independently on moderately complex problems with minimal supervision.
Familiar with modern cloud data architectures and platforms, including tools like Databricks, Spark/PySpark, Snowflake, or BigQuery.
Comfortable working in regulated industries and collaborating across business and technical stakeholders for trusted data delivery.