Data Engineer - DSA
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level data engineer in Pune with common tech stack and broad requirements increases applicant competition.
Data engineering skills transfer easily across industries, making background fit relatively low sensitivity.
Explicit 3–5 year requirement plus mandatory Snowflake, Azure Data Factory, Python, and SQL increases filter strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and ETL/ELT processes including real-time, on-demand, and batch data integration.
Collaborate with cross-functional teams to implement data-driven solutions ensuring data quality, security, and system integration.
Perform debugging, root cause analysis, and maintain documentation to optimize data pipeline performance and deliver timely data solutions.
Minimum Requirements
3 to 5 years of experience as a Data Engineer with focus on scalable data solutions.
3+ years of experience with Python scripting for data processing and ETL development.
3+ years hands-on experience with Snowflake and data integration tools like Azure Data Factory, Fivetran, or Matillion.
Bachelor’s or Master’s degree in Computer Science, IT, or related field; equivalent academic/work experience considered.
Ideal Candidate Profile
Experienced in cloud data platforms (Azure, AWS) and orchestration tools (Apache Airflow or equivalent).
Proficient with complex SQL for large datasets and database performance tuning.
Able to collaborate with analysts, developers, and business stakeholders to deliver maintainable, scalable data solutions aligned with business objectives.