Job
Description
About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. Duties: Designing and implementing data processing systems using distributed frameworks like Hadoop, Spark, Snowflake, Airflow, or other similar technologies. This involves writing efficient and scalable code to process, transform, and clean large volumes of structured and unstructured data. Building data pipelines to ingest data from various sources such as databases, APIs, or streaming platforms. Integrating and transforming data to ensure its compatibility with the target data model or format. Designing and optimizing data storage architectures, including data lakes, data warehouses, or distributed file systems. Implementing techniques like partitioning, compression, or indexing to optimize data storage and retrieval. Identifying and resolving bottlenecks, tuning queries, and implementing caching strategies to enhance data retrieval speed and overall system efficiency. Designing and implementing data models that support efficient data storage, retrieval, and analysis. Collaborating with data scientists and analysts to understand their requirements and provide them with well-structured and optimized data for analysis and modeling purposes. Utilizing frameworks like Hadoop or Spark to perform distributed computing tasks, such as parallel processing, distributed data processing, or machine learning algorithms Implementing security measures to protect sensitive data and ensuring compliance with data privacy regulations. Establishing data governance practices to maintain data integrity, quality, and consistency. Identifying and resolving issues related to data processing, storage, or infrastructure. Monitoring system performance, identifying anomalies, and conducting root cause analysis to ensure smooth and uninterrupted data operations. Collaborating with cross-functional teams including data scientists, analysts, and business stakeholders to understand their requirements and provide technical solutions. Communicating complex technical concepts to non-technical stakeholders in a clear and concise manner. Independence and responsibility for delivering a solution Ability to work under Agile and Scrum development methodologies Staying updated with emerging technologies, tools, and techniques in the field of big data engineering. Exploring and recommending new technologies to enhance data processing, storage, and analysis capabilities. Train and mentor junior data engineers, providing guidance and knowledge transfer. Requirements: A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. A bachelor's or master's degree in Computer Science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous. Minimum of 10+ years of experience in data engineering or a related field. Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark. Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment. Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions. In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues. Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management. Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies. Consulting exposure, with external customer focus mindset is preferred. Why join us: Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Show more Show less
