Responsibilities: - Translate business needs and architectural guidance into detailed designs, data contracts, and implementation plans that break down large initiatives into actionable engineering tasks with reliable estimates - Create detailed pipeline designs covering schemas, transformations, partitioning, DLT configurations, orchestration, error handling, and observability that align with the platform architecture through close collaboration with the Data Architect - Lead implementation and guide junior engineers on design, coding standards, and best practices - Develop metadata-driven and configuration-driven pipeline patterns that reduce custom code and improve consistency - Make technical decisions that ensure reliability, performance, maintainability, and scalability. Ensure production readiness with monitoring, lineage, alerting, observability, CI/CD and documentation - Define and enforce engineering design patterns, coding standards, testing practices, and operational best practices - Evaluate and incorporate new technologies and Databricks capabilities that improve reliability, performance, or developer productivity - Validate new technologies with the Data Architect and operationalize them through documentation, examples, and enablement - Implement automated data quality checks, rule enforcement, and exception handling - Production support of both an existing and new platform including optimization of jobs, incident tracking and other analysis required for production - Lead resolution of complex production issues and deliver durable root cause fixes - Maintain SLAs for reliability, recovery, idempotency, performance, and cost efficiency - Mentor Level 2–3 engineers through pairing, design guidance, code reviews, and technical coaching Basic Skills: - Bachelor’s degree preferred; equivalent experience accepted - 10+ years of experience in data engineering (12+ without a degree) - 3+ years hands-on with Databricks (Delta Lake, DLT, Unity Catalog, workflow jobs) within the last 6 years - 4+ years building production-grade batch/streaming pipelines using PySpark, Spark Structured Streaming, Python, and SQL - Proven experience with data governance, schema evolution, data lineage, and secure access patterns - Proven 2 years’ experience with maintaining and sustaining data pipelines Preferred Skills: • Experience building metadata-driven or configuration-driven pipelines • Experience with data quality frameworks (DQX, Great Expectations, or equivalent) • Experience with observability, metrics and query performance analysis • Strong Spark optimization Work Conditions: • Team collaborative hours between 8am to 4pm EST • Remote corporate office/lab environment • Ability to travel 10% of the time

The Team At Coderoad, we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for. We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level! How you’ll make an impact - Create and maintain optimal data pipeline architecture. - Assemble large, complex data sets that meet functional / non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for high-intensive applications and greater scalability, etc. - Design and build robust ETL/ELT processes on GCP to ensure optimal extraction, transformation, and loading of data from a wide variety of sources. - Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. - Integrate diverse data ecosystems by connecting with CDPs, ERPs, and various external systems. - Work with stakeholders including to assist with data-related technical issues and support their data infrastructure needs. - Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. - Work with data and analytics experts to strive for greater functionality in our data systems. What we’re looking for Minimum requirements: - 4+ years as a Data Engineer experience building processes supporting data transformation, data structures, metadata, dependency, and workload management. - Cloud Expertise: Proven experience designing and implementing ETLs on GCP. - Analytics frameworks and languages, such as: Databricks, Python (Scala is a plus) - Familiar with big data tools: Apache Spark, Data Factory or Synapse. - Pipeline Management: Experience with Big Data pipelines via Streams and/or Batches for high-intensive applications. - Experience Relational SQL . - Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. - Unstructured Data: Strong analytic skills related to working with unstructured datasets. - Advanced English B2-C1 (spoken and written) - Experience leading teams is nice to have. What you’ll love - 100% Remote - Contractor position available for Latin American candidates - Holidays Off - Paid Time Off - Health insurance assistance program. - Competitive Pay (USD) - Excellent teamwork and work environment - Training

Your role at DynatraceWe are seeking an experienced Java Engineer to join a team dedicated to delivering secure, scalable, and accessible solutions. Our work is anchored in Data Acquisition, ensuring seamless and inclusive user experiences across platforms. In this role, you will collaborate with professionals, in an environment that values clear communication, teamwork, and continuous improvement - Design, develop, and maintain user-facing features using Java and related technologies. - Write clean, maintainable, and efficient code following best practices. - Participate in code reviews, providing constructive feedback to ensure a high-quality codebase. - Drive and maintain high standards of code quality across our suite of applications. - Troubleshoot and debug complex issues to ensure system reliability and performance. - Stay current with emerging trends, frameworks, and technologies to continuously improve our solutions. What will help you succeed - Solid Java expertise, with proven experience in development and architectural design. - DevOps knowledge, including AWS, Kubernetes, and CI/CD pipelines. - Familiarity with frontend technologies, preferably React. - A strong focus on end-user experience and passion for enabling people with innovative tools. - Ability to adapt quickly to new technologies and environments. - Excellent communication skills in English, both written and spoken. Why you will love being a Dynatracer - Dynatrace is a leader in unified observability and security. - We provide a culture of excellence with competitive compensation packages designed to recognize and reward performance. - Our employees work with the largest cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. - The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences. - Over 50% of the Fortune 100 companies are current customers of Dynatrace. Compensation and Rewards - We offer only employment contracts (PL: Umowa o pracę / UoP) and a hybrid working setup with 2/3 days per week in the office. This is a permanent role and not a B2B contract. - We offer attractive compensation packages and stock purchase options with numerous benefits and advantages. - Base salary range 16.000 - 20.500 PLN gross per month. (we've listed a salary range for transparency, but if your experience and skills bring unique value, we would still love to hear from you) Equal Employment OpportunityDynatrace provides equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected characteristic. We actively foster an inclusive workplace that celebrates differences and promotes accessibility, collaboration, and growth for all.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE WHAT YOU WILL DO - Build and maintain scalable, distributed, fault-tolerant data pipelines on GCP; - Develop and manage lakehouse layers and Delta Lake workflows using BigQuery and Dataproc; - Collaborate with stakeholders across data engineering, compliance, and business teams; - Design and implement pipelines to acquire, normalise, transform, and release large volumes of financial data; - Design and implement bitemporal data models on BigQuery for regulatory-grade time-series datasets; - Build and maintain testing frameworks for data pipelines and transformation logic; - Own end-to-end solutions including ingestion pipelines, QA workflows, correction management, and audit trails; - Contribute to shared platform services in a collaborative environment; - Support implementation of AI solutions including data ingestion, anomaly detection, and semantic search using Vertex AI. MUST HAVES - 6–8 years of experience in data engineering; - Proficiency in Python for data pipelines, transformation logic, and automation; - Proficiency in SQL with hands-on experience in BigQuery including partitioning, clustering, and time-series queries; - Experience with Cloud Composer (Apache Airflow) for pipeline orchestration; - Working knowledge of Dataproc (Apache Spark) for batch ingestion and incremental processing; - Experience with AI-assisted development tools such as GitHub Copilot or similar; - Experience with Git version control and collaboration workflows; - Familiarity with REST APIs for integrations; - Familiarity with GCP technologies (Cloud Storage, Pub/Sub, Datastream, Cloud Monitoring, IAM, VPC Service Controls); - Understanding of financial data concepts related to equities and& other asset classes; - Upper-intermediate English level. NICE TO HAVES - Knowledge of data libraries such as pandas or PySpark; - Experience with columnar storage and time-series analytics tools such as ClickHouse; - Familiarity with Dataplex for data governance and lineage; - Understanding of Change Data Capture (CDC) using Datastream; - Understanding of bitemporal data modeling concepts; - Knowledge of financial reference data such as equities, fixed income, or corporate actions; - Experience with BigQuery cost management techniques; - Experience with CI/CD pipelines and Terraform for infrastructure as code; - Exposure to LLMs and& Agentic AI using Vertex AI for data-related use cases. PERKS AND BENEFITS - Remote work & Local connection: Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts. - Legal presence in India: We ensure full local compliance with a structured, secure work environment tailored to Indian regulations. - Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness. - Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.