- Job Title : AWS Data Architect
- Job Summary:
- Strong understanding of data structures and algorithms-
- Strong understanding of solution and technical design-
- Has a strong problem solving and analytical mindset?-
- Able to influence and communicate effectively both verbally and written with team members and business stakeholders-
- Able to quickly pick up new programming languages technologies and frameworks-
- Experience building cloud scalable real time and high-performance data lake solutions-
- Experience: 11 to 15yrs.
- Required Skills:AWS AWS Cloud AWS EMR AWS Glue ETL AWS Big Data
- Roles & Responsibilities:
- Hands on experience in AWS – EMR [Hive Pyspark] S3 Athena or any other equivalent cloud-Familiarity with Spark Structured Streaming
- Minimum experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashion- hands-on experience with SQL ETL data transformation and analytics functions.
- Hands-on Python experience including Batch scripting data manipulation distributable packages.
- Experience working with batch orchestration tools such as Apache Airflow or equivalent preferable Airflow-working with code versioning tools such as GitHub or BitBucket expert level understanding of repo design and best practices-
- Familiarity with deployment automation tools such as Jenkins.
- Hands-on experience designing and building ETL pipelines expert with data ingest change data capture data quality hand on experience with API development-
- designing and developing relational database objects knowledgeable on logical and physical data modelling concepts some experience with Snowflake-
- Familiarity with Tableau or Cognos use cases-
- Familiarity with Agile working experience preferred.-
- Design and build reusable components frameworks and libraries at scale to support analytics products-Design and implement product features in collaboration with business and Technology stakeholders-
- Identify and solve issues concerning data management to improve data quality-
- Clean prepare and optimize data for ingestion and consumption- Collaborate on the implementation of new data management projects and re-structure of the current data architecture-
- Implement automated workflows and routines using workflow scheduling tools-
- Build continuous integration test-driven development and production deployment frameworks-
- Analyze and profile data for designing scalable solutions
- Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues
Salary and Other Compensation: Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
