Data Engineer

1 month ago

Bangalore, India SS Consultancy Services Full time

Job Responsibilities :

- Be part of the data team to design and build a BI and analytics solution

- Implement batch and near real time data movement design patterns and define best practices in data engineering.

- Design and develop optimal cloud data solutions (lakes, warehouses, marts, analytics) by collaborating with diverse IT teams including business analysts, project managers, architects, and developers.

- Work closely with a team of data engineers and data analysts to procure, blend and analyze data for quality and distribution; ensuring key elements are harmonized and modeled for effective analytics, while operating in a fluid, rapidly changing data environment

- Build data pipelines from a wide variety of sources

- Demonstrate strong conceptual, analytical, and problem-solving skills and ability to articulate ideas and technical solutions effectively to external IT partners as well as internal data team members

- Work with cross-functional teams, on-shore/off-shore, development/QA teams/Vendors in a matrixed environment for data delivery

- Backtracking, troubleshooting failures and provide fix as needed

- Update and maintain key data cloud solution deliverables and diagrams

- Ensure conformance and compliance using company data architecture guidelines and enterprise data strategic vision

What Will Put You Ahead :

- AWS certifications like Solution Architect (SAA/SAP) or Data Engineering Associate (DEA)

- Hands-on experience with AWS data technologies and at least one full life cycle project experience in building a data solution in AWS.

- Exposure to visualization tools, such as Tableau or PowerBI.

- Experience with OLAP technologies and Data Virtualization (using Denodo)

- Knowledge on manufacturing and Finance domain

What You Will Need To Bring With You (Experience & Education Required):

- Bachelor's degree in Computer Science, Engineering, or related IT area with at least 5-8 years of experience in software development.

- Primary Skill set : S3, AWS GLUE, SPARK,AWS Lambda, PYTHON, Columnar DB(Redshift or Snowflake) and SQL

- Secondary Skill set: AWS IAM, STEP FUNCTIONS, Git, Terraform, CI/CD

- At least 5+ of hands-on experience in designing, implementing, managing large-scale and ETL solutions.

- At least 3 years of hands-on experience in business intelligence, data modelling, data engineering, ETL, multi-dimensional data warehouses, cubes, with expertise in relevant languages and frameworks like SQL, Python etc.

- Hands on experience with designing and fine-tuning queries in Columnar DB(Redshift or Snowflake)

- Strong knowledge of Data Engineering, Data Warehousing, OLAP and database concepts

- Understanding of common DevSecOps/DataOps and CICD processes, methodologies, and technologies like GitLab, Terraform etc

- Be able to analyze large complex data sets to resolve data quality issues

(ref:hirist.tech)

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