Senior Data & Analytics Engineer
Senior Data & Analytics Engineer
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Job Description
Position Description:
Company Profile: -
At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve. At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 professionals located in 40 countries. Founded in 1976 CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources expertise stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at .
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position however only candidates selected for interviews will be contacted. No unsolicited agency referrals please.
Job Title: Senior Data & Analytics Engineer
Position: Senior Software Engineer
Experience: 8 to 12 Years relevant in Data & Analytics role
Category: zINACTIVE - Information Technology
Main location: Bangalore (Anywhere CGI)
Position ID: J0825-0247
Employment Type: Full Time
Job Description: Responsibilities: - Senior Data & Analytics Engineer
A Senior Data & Analytics Engineer is a pivotal role that focuses on designing building and maintaining an organizations data infrastructure and pipelines. Heres a breakdown of the core responsibilities:
Data Architecture & Design: Design and implement scalable reliable and efficient data architectures and pipelines using various tools and technologies.
ETL/ELT Development: Develop and optimize ETL (Extract Transform Load) and ELT pipelines to integrate data from disparate sources into a centralized data warehouse or lake.
Data Modeling: Create and manage data models (e.g. star schema snowflake schema) that support analytical and reporting needs.
Performance Optimization: Tune database queries and data pipelines to improve performance reduce latency and ensure efficient resource utilization.
Data Governance & Quality: Establish and enforce best practices for data quality security and governance. This includes implementing data validation rules and monitoring data lineage.
Collaboration & Mentorship: Work closely with data scientists business analysts and other engineers to understand data needs and deliver solutions. Mentor junior team members and foster a culture of technical excellence.
Technology Evaluation: Research and evaluate new data technologies and tools to improve the existing data platform.
Required Qualifications & Skills
This role requires a blend of technical expertise analytical thinking and leadership.
Experience: 8 to 12 years of hands-on experience in data engineering business intelligence or a similar role. A proven track record of designing and implementing large-scale data solutions is a must.
Technical Skills:
Programming Languages: Expert proficiency in Python or Scala is essential for scripting and automation.
SQL: Advanced knowledge of SQL for complex data manipulation query optimization and data modeling.
Cloud Platforms: Extensive experience with at least one major cloud platform (e.g. AWS GCP or Azure) and its data services (e.g. AWS S3 Redshift Glue; GCP BigQuery Dataflow; Azure Data Lake Synapse).
Big Data Technologies: Hands-on experience with big data technologies such as Apache Spark Hadoop or Databricks.
Data Warehousing: Deep understanding of data warehousing concepts and experience with data warehouses like Snowflake Redshift or BigQuery.
Orchestration Tools: Familiarity with data orchestration tools like Apache Airflow Dagster or Prefect.
Database Management: Solid understanding of both relational and NoSQL databases.
Soft Skills:
Problem-Solving: Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
Communication: Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.
Leadership: Ability to take ownership of projects work independently and mentor others.
Desired Certifications (Bonus)
Cloud-specific certifications (e.g. AWS Certified Data Analytics - Specialty Google Cloud Professional Data Engineer).
Certifications related to specific tools (e.g. Databricks Certified Associate Developer for Apache Spark).
Skills:
- Python
- Snowflake
- SQL
- SQLite
What you can expect from us:
Together as owners lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll reach your full potential because
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas embrace new opportunities and benefit from expansive industry and technology expertise.
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our teamone of the largest IT and business consulting services firms in the world.
Required Experience:
Senior IC
Employment Type
Full-Time
