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Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The Data Engineer will work on GCP services and handle big data through ETL processes, employing strong problem-solving skills and analytical abilities.
Top Skills:
BigtableCloud FunctionsCloud RunDatastoreGCPJavaPysparkPythonSpannerSQL
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
As a Data Engineer, you will work with GCP technologies, managing big data, utilizing ETL/ELT processes, and collaborating across teams while advancing in your career.
Top Skills:
AirflowBigQueryBigtableCloud RunDatastoreETLGCPGcsJavaPysparkPythonSpannerSparkSQL
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The Senior Data Engineer will build and maintain data pipelines, ensure data accuracy, optimize performance, and collaborate with analysts for business intelligence solutions.
Top Skills:
BigQueryCloud ComposerDataflowGCPSQL
Embark on an exciting journey into the realm of software product development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Lead, Data Engineering, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.If your passion for data engineering solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! 🌍🔥
Skills Set
- 8+ years of experience in Data Engineering or related field, including 2+ years in a lead role.
- Expert-level proficiency with AWS data services (e.g., Glue, EMR, Lambda, Redshift, S3, Kinesis, Step Functions).
- Strong Python skills for data processing, automation, and pipeline development.
- Experience building batch and streaming pipelines (Spark, PySpark, Kafka, Kinesis, etc.).
- Strong SQL expertise and experience with relational and NoSQL databases.
- Hands-on experience with IaC (Terraform, CloudFormation, CDK).
- Familiarity with DevOps tools for CI/CD (e.g., GitHub Actions, GitLab CI, Jenkins).
- Understanding of data modeling, data warehousing concepts, and distributed systems.
Key Responsibilities
- Understanding the client requirement and lead creation of robust data platforms on multiple cloud technologies.
- Lead end-to-end analytics projects — from requirement gathering to deployment.
- Mentor junior team members, perform code reviews, and ensure adherence to quality standards.
- Work closely with cross-functional teams (engineering, product, business) to align data strategy with business goals.
- Develop and optimize complex SQL queries, LookML models, dashboards, and reports.
- Troubleshoot performance bottlenecks, data inconsistencies, and integration challenges.
- Stay up to date with advancements in the analytics and cloud data ecosystem.
- Drive innovation in reporting and analytics capabilities.
- Recommend and implement new tools, frameworks, and practices to enhance the data platform.
- Define best practices, coding standards, and governance for analytics projects.
- Monitor data systems performance and implement optimization strategies.
- Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Regards
Rajan Paul(Linkedin Profile)
3Pillar Global
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