
Blue Cloud Softech
3 weeks ago
About the Role :
We are on an exciting journey to scale our advanced analytics and data engineering capabilities.
We are seeking a Lead Data Lake Developer with strong expertise in architecting and building enterprise-grade data lake solutions on AWS.
This is a leadership role where you will own the design, development, and governance of robust, scalable, and cost-effective data platforms to support a range of analytics and business intelligence initiatives.
Key Responsibilities :
- Lead the design and implementation of modern Data Lake architectures using AWS and related technologies.
- Architect and build scalable data ingestion pipelines integrating data from diverse sources using ETL/ELT tools.
- Develop and maintain Delta Lake solutions on AWS S3 using Databricks, Apache Hudi, or similar technologies.
- Design, build, and manage enterprise data warehouses and analytical data models (Star, Snowflake, Flattened).
- Define and implement data access patterns supporting both OLTP and OLAP use cases.
- Provide technical leadership across the software development lifecyclefrom requirements through deployment.
- Own code versioning, CI/CD pipelines, and DevOps practices for the data engineering stack.
- Collaborate with cross-functional teams including business analysts, data scientists, and solution architects.
- Ensure reliability, performance, security, and cost-efficiency of the data platform.
Required Skills & Qualifications :
- 10+ years of experience in Data Engineering with at least 5+ years in cloud-native Data Lake implementations.
- Proven hands-on expertise in AWS services including S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS, and Redshift.
- Strong experience building Delta Lakes using Databricks or Apache Hudi.
- Proficiency in distributed computing frameworks such as Apache Spark.
- Deep understanding of ETL/ELT tools and techniques.
- Proficient in at least one modern programming language (Python, Scala, Java, or R).
- Expertise in designing and implementing data models and scalable data warehouses (Snowflake, Redshift, HANA, Teradata, etc.
- Hands-on experience in DevOps practices including version control (Git), CI/CD pipelines, and infrastructure as code.
- Experience in leading Agile/Scrum-based projects and mentoring junior engineers.
- Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.
Preferred Qualifications :
- AWS Certification (e. , AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).
- Experience with real-time data processing frameworks and streaming data solutions.
- Exposure to data governance and metadata management tools
(ref:hirist.tech)
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