Data Engineer III/IV
2 weeks ago
Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust. Working at Ollion Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential toward a single goal: making the world of difference. And we’re building a global team to do just that— a team capable of game‑changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be. Our Difference At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard‑earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something. Diversity at Ollion We value diversity, inclusion, and equity (DE&I) as core to our success. We believe a diverse workforce brings together unique perspectives, experiences, and ideas, leading to innovation, creativity, and better outcomes for our clients and our organization. We are on a journey and are committed to building a workplace that celebrates and respects individuals from all backgrounds, including but not limited to race, ethnicity, gender, sexual orientation, age, disability, and cultural heritage. Job Description The Data Engineer will be responsible for requirements understanding, solution designing, and building modern data platforms to support data‑driven decision‑making. The Data Engineer will execute technical implementation of data engineering and visualization projects, and will be a hands‑on role. The Data Engineer will help in creating technical collateral and staying on top of technology trends with ongoing training and certifications. Responsibilities Architect and build scalable data pipelines: Craft secure, efficient pipelines to ingest, transform, and load data from diverse sources, ensuring quality and availability for downstream analysis. Design and optimize data infrastructure: Shape the future of our data platform, choosing and implementing cutting‑edge technologies like cloud storage, data lakes, and streaming platforms. Own data quality and governance: Champion data quality initiatives, establish data standards, and implement monitoring and alerting systems to ensure data integrity. Automate and innovate: Drive automation initiatives to streamline data workflows and build reusable components for greater efficiency and maintainability. Mentor and guide: Share your expertise by mentoring junior engineers and fostering a collaborative data culture. Qualifications 5+ years of experience in data engineering or related role. Proven track record of designing, building, and maintaining data pipelines and infrastructure. Expertise in programming languages such as Python, Scala, or Java. Expertise in SQL. Familiarity with multiple cloud platforms like AWS. Expertise in data processing frameworks such as Spark, Beam, Flink, etc. Expertise in at least one workflow orchestration tool such as Airflow. Expertise in messaging queues such as Kafka or PubSub. Expertise in at least one data warehouse such as Redshift, BigQuery, Snowflake, Databricks, etc. Expertise in implementing large‑scale data lakes/warehouses. Expertise in relational databases such as Postgres, MySQL, etc. Expertise in NoSQL databases such as DynamoDB, MongoDB, BigTable, etc. Familiarity with data visualization tools such as Tableau, PowerBI, Superset, Quicksight, etc. Expertise in data catalog and governance tools such as Amundsen, Dataplex, Glue catalog, etc. Expertise in data validation frameworks such as DBT, Great Expectations, etc. Strong understanding of data warehouse, data lake, data mart, OLTP and OLAP concepts. Strong understanding of data modeling, ETL/ELT processes, and data quality principles. Excellent communication and collaboration skills, able to translate technical concepts to non‑technical audiences. Experience in modern data stack including no‑code ingestion tools, transformation and orchestration tools, data governance, data quality and role‑based access control. Nice to Have Architecting and implementing end‑to‑end data platforms. Experience with legacy data systems (e.g., Hadoop). Experience in networking and access controls. Any data engineering, visualization, or data science certifications on any of the clouds. Benefits & Perks for Working at Ollion Benchmarked, competitive, in‑market total rewards package including base salary & short‑term incentive for all employees. We are a virtual‑by‑default, small but global organization; “learn wherever, whenever” frees our people from a rigid view of learning and growth. Retirement planning (i.e., CPF, EPF, company‑matched 401(k)). Globally we build benefit plans that offer choices for whatever stage in life our employees are in and allow for flexibility as life happens. Employees have access to a fully comprehensive benefits package to choose the medical, dental, and vision insurance plan that best fits their lives. In addition to great healthcare coverage, we also offer all employees mental health resources and additional wellness programs. Generous time off and leave allowances. And more Equal Opportunity Employer Ollion is an equal‑opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non‑merit factor. Seniority level Mid‑Senior level Employment type Full‑time Industry IT Services and IT Consulting #J-18808-Ljbffr
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