Data Engineer

Job Description

Company Profile: Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With presence in more than 45 countries across five continents, we excel in leveraging stateof-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. We have 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all. About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines. What you will be doing at Evalueserve: Possess good knowledge of different cloud platforms Have comprehensive understanding of technologies such as snowflake and shell scripting Have extensive knowledge of the Hadoop ecosystem, including HDFS, Map Reduce, Hive, Kafka, Storm, Oozie, and Sqoop Be familiar with version control tools such as GitHub Possess in-depth knowledge of structured, semi structured, and unstructured datasets Proficient in Hadoop, PySpark, Python and related technologies Deep technical knowledge of modern, distributed computing frameworks and platforms, Advanced working knowledge in implementing data pipelines on top of cloud technology stacks/On-premise Strong knowledge of SQL and performance tuning Solid knowledge of Linux environments Orchestration with Apache Nifi, Apache Airflow Working knowledge of implementing CI / CD pipelines. Log analysis and monitoring using Splunk Databricks, AWS, Snowflake. What were looking for: Bachelors / Masters degree in computer science / engineering from a reputed university 10+ years of experience in data warehousing, data management, and team management. More than six years of experience in people management Project management certification Hands-on experience as a delivery manager for multiple projects Ability to manage and execute competitive pilot programs Strong functional expertise in delivering thought leadership projects Ability to motivate a team to achieve client satisfaction Extensive knowledge of end-to-end solution development Excellent leadership and mentorship skills Hands-on experience in improving delivery processes and automating leads Ability to clearly discern complex solutions, align them with business objectives, and deliver critical solutions Hands-on experience in guiding and supporting peer consultants during a project Ability to handle stakeholders across diverse cultures and geographies