Senior Data Engineer

2 weeks ago

Bengaluru, Karnataka, India Mphasis Full time

Senior Data Engineer (Talend)

Responsibilities:


• Lead end-to-end design and development of scalable data pipelines using Talend, orchestrating complex ELT workflows into Snowflake.


• Architect and optimize data warehousing solutions: warehouse sizing, clustering keys, materialized views, and Snowflake best practices.


• Build and maintain AWS infrastructure (S3 data lakes, EC2 batch clusters, RDS, No SQL).


• Define and enforce data governance, security, and compliance policies across pipelines and AWS resources.


• Mentor and guide junior engineers, conduct design/code reviews, and establish coding standards.


• Implement monitoring, alerting, and logging (Snowflake Usage & Billing) to ensure pipeline reliability and cost control.


• Collaborate with analytics and BI teams to translate business requirements into technical designs and SLAs.


• Drive continuous improvement: evaluate emerging tools (e.g., AWS Glue, dbt), recommend enhancements, and lead migration from legacy ETL systems.

Skills & Qualifications:


• 5+ years of data engineering experience, including extensive work with Talend and Snowflake in production environments.


• Deep expertise in Studio, TAC and AWS services(S3, EC2, RDS and No SQL).


• Expert SQL skills and performance tuning in Snowflake (query profiling, result caching, multi-cluster warehouses).


• Proficient in Python and Java for advanced data transformations and custom connector development.


• Experience with orchestration tools (Autosys, Airflow) and CI/CD for data pipelines.


• Strong background in data modeling, schema design, and partitioning strategies for large-scale datasets.


• Demonstrated ability to lead cross-functional projects, mentor teams, and communicate complex concepts to stakeholders.


• Knowledge of data security, GDPR/CCPA compliance, and implementing role-based access controls.

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