Lead Consultant

3 weeks ago

Bengaluru, India Genpact Full time

Job Description Role Overview We are seeking a highly experienced Team Lead with deep expertise in in AWS-native tools and modern data architecture. This role will lead data architecture design and implementation for client engagements, ensuring scalable, secure, and high-performing data solutions tailored to the unique data needs of life sciences commercial operations. Key Responsibilities - Lead the technical implementation and delivery of AWS-based data solutions, ensuring alignment with business needs, performance goals, and compliance requirements. - Design and build scalable, secure, and cost-effective data pipelines, data lakes, and data warehouses using AWS-native services such as S3, Redshift, Glue, Lambda, Athena, EMR, Lake Formation, and Step Functions. - Provide hands-on expertise in SQL (advanced querying, tuning, and optimization), Apache Spark (ETL development, performance tuning, and cluster management), and end-to-end performance optimization of data pipelines, queries, and distributed data processing workloads. - Collaborate with data architects and business stakeholders to translate business requirements into technical specifications, data models, and integration designs. - Develop and maintain modular, reusable components and templates to accelerate delivery and ensure consistency across projects. - Contribute to the design and implementation of data ingestion, transformation, and analytics workflows using both batch and streaming paradigms. - Work closely with data engineers, analysts, and QA teams to ensure high-quality data delivery aligned with data governance, security, and quality standards. - Support data platform modernization initiatives, including migrations from legacy systems to cloud-native data architectures. - Promote and apply best practices for scalability, security, performance optimization, and cost efficiency in all technical implementations. - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and technical excellence within the team. Qualifications we seek in you: Minimum Qualifications - industry experience, relevant years of experience in cloud-based data engineering or implementation with a focus on AWS. - Solid experience with AWS-native data services, including Glue, Redshift, S3, Lambda, and related tools. - Strong hands-on experience in Advanced SQL, Spark for large scale distributed data processing and performance tuning of ETL pipelines - Good understanding of data modeling techniques: relational, dimensional, data vault, and hybrid models. - Proven track record in leading technical delivery of end-to-end data engineering projects on AWS. Preferred Qualifications - Exposure to additional data tools and platforms: Snowflake, Databricks (on AWS), dbt, Tableau, Power BI, etc. - Prior experience in a consulting or client-facing role is highly desirable. - AWS certification(s) such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect - Associate or Professional - - - - -

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