Azure Big Data Engineer

Tiger Analytics is a global AI and analytics consulting firm with a team of over 2800 professionals focused on using data and technology to solve complex problems that impact millions of lives worldwide. Our culture is centered around expertise, respect, and a team-first mindset. Headquartered in Silicon Valley, we have delivery centers globally and offices in various cities across India, the US, UK, Canada, and Singapore, along with a significant remote workforce. At Tiger Analytics, we are certified as a Great Place to Work. Joining our team means being at the forefront of the AI revolution, working with innovative teams that push boundaries and create inspiring solutions. We are currently looking for an Azure Big Data Engineer to join our team in Chennai, Hyderabad, or Bangalore. As a Big Data Engineer (Azure), you will be responsible for building and implementing various analytics solutions and platforms on Microsoft Azure using a range of Open Source, Big Data, and Cloud technologies. Your typical day might involve designing and building scalable data ingestion pipelines, processing structured and unstructured data, orchestrating pipelines, collaborating with teams and stakeholders, and making critical tech-related decisions. To be successful in this role, we expect you to have 4 to 9 years of total IT experience with at least 2 years in big data engineering and Microsoft Azure. You should be proficient in technologies such as Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database, Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview. Strong coding skills in SQL, Python, or Scala/Java are essential, as well as experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, and Elastic Search. Knowledge of file formats such as Delta Lake, Avro, Parquet, JSON, and CSV is also required. Ideally, you should have experience in building REST APIs, working on Data Lake or Lakehouse projects, supporting BI and Data Science teams, and following Agile and DevOps processes. Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) would be a valuable addition to your profile. At Tiger Analytics, we value diversity and inclusivity, and we encourage individuals with different skills and qualities to apply, even if they do not meet all the criteria for the role. We are committed to providing equal opportunities and fostering a culture of listening, trust, respect, and growth. Please note that the job designation and compensation will be based on your expertise and experience, and our compensation packages are competitive within the industry. If you are passionate about leveraging data and technology to drive impactful solutions, we would love to stay connected with you.,