As a Databricks Developer, you will design and build the enterprise data pipelines that power analytics, reporting and AI initiatives for a leading company in the energy sector. Join a fully remote data engineering team working hands-on with cutting-edge Lakehouse technology.
HIGH-IMPACT DATA PROJECTS | LATEST LAKEHOUSE TECH | FULLY REMOTE | LEARNING & GROWTH |
Don't tick every box? If you meet around 70% of the requirements above, we'd still encourage you to apply.
ABOUT THE ROLE
We are looking for a highly skilled Data Engineer with 5+ years of experience to design, build and optimize enterprise data pipelines on the Databricks Lakehouse platform for a leading energy sector company. In this role, you will be the hands-on technical driver responsible for transforming raw data into high-quality, actionable datasets. You will build and maintain a Medallion architecture, optimize Spark workloads, and ensure the data infrastructure seamlessly supports advanced analytics, BI dashboards and emerging Generative AI applications.
KEY RESPONSIBILITIES
Data Pipeline Engineering
● Design, build and maintain scalable, robust ETL/ELT pipelines using Python, SQL and Apache Spark within the Databricks environment.
● Implement and manage a robust Medallion architecture (Bronze, Silver, Gold layers) to process and refine data from diverse sources.
● Develop and maintain the Gold semantic layer specifically optimized for high-performance consumption by BI tools (e.g., Power BI).
Platform Optimization & Architecture
● Optimize Databricks workloads, cluster configurations and Spark queries to ensure high performance and cost efficiency.
● Work extensively with open table formats, specifically Delta Lake and Apache Iceberg, to ensure ACID compliance, time travel and efficient data storage.
● Execute complex data migrations, including transitioning legacy workloads from traditional cloud data warehouses (e.g., AWS Redshift) into the Databricks Lakehouse.
Data Governance & Automation
● Implement data governance and access control policies at the table, row and column levels using Databricks Unity Catalog.
● Automate deployment processes and pipeline orchestration using Databricks Workflows, CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) and tools like Terraform.
● Embed data quality checks and monitoring directly into pipelines to ensure strict Master Data Management (MDM) standards are upheld.
AI & Advanced Analytics Support
● Collaborate closely with Data Scientists and AI Engineers to provision clean, structured data for machine learning model training and inference.
● Support the data foundations required for GenAI frameworks, autonomous agents and AI observability platforms.
REQUIRED SKILLS & EXPERIENCE
● 5+ years of dedicated data engineering experience in an enterprise environment.
● Expert-level proficiency in Python and SQL.
● Extensive hands-on experience with Databricks, Apache Spark and Delta Lake.
● Strong understanding of distributed systems, big data architecture and data modeling techniques (e.g., Kimball, Data Vault).
● Deep familiarity with cloud-native data services (AWS, Azure or GCP), specifically cloud storage (S3/ADLS) and compute provisioning.
● Proven experience with version control (Git), CI/CD methodologies and agile software development life cycles.
NICE TO HAVE
● Experience evaluating and working with Apache Iceberg alongside Delta Lake.
● Familiarity with streaming data architectures (e.g., Structured Streaming, Kafka).
● Experience building backend frameworks or internal tools using lightweight libraries like Streamlit.
EDUCATION
● Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering or a related field.
PREFERRED CERTIFICATIONS
● Databricks Certified Data Engineer Associate or Professional.
● AWS, Azure or GCP data/cloud certifications.
WORKING MODEL
Fully remote position.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
