Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are looking for a Data Engineer to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals. Requirements <ul><li>Bachelor's degree in Computer Science or similar field</li><li>4+ years of experience in IT industry</li><li>Expertise in Python and Pyspark</li><li>Experience building data pipelines using Azure stack</li><li>2+ years of experience using Apache spark</li><li>Good working experience on Delta Lake and ETL processing</li><li>Proficiency in SQL queries</li><li>Prior experience of working in a Unix environment</li><li>Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks</li><li>Experience extracting/querying/joining large data sets at scale</li><li>Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data</li><li>Experience in data wrangling, advanced analytic modeling is preferred</li><li>Exposure to Java is a plus</li><li>Strong communication and organizational skills </li></ul>Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Title: Azure Big Data EngineerLocation: Hyderabad Curious about the role? What your typical day would look like?As a Big Data Engineer (Azure), you will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. On a typical day, you might <ul><li>Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)</li><li>Conceptualize and execute high-performance data processing for structured and unstructured data, and data harmonization</li><li>Schedule, orchestrate, and validate pipelines</li><li>Design exception handling and log monitoring for debugging</li><li>Ideate with your peers to make tech stack and tools-related decisions</li><li>Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.</li></ul> What do we expect? <ul><li>4 to 9 years of total IT experience with 2+ years in big data engineering and Microsoft Azure</li><li>Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database</li><li>A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview</li><li>A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging skills in SQL, Python, or Scala/Java).</li><li>Enthuse to collaborate with various stakeholders across the organization and take complete ownership of deliverables.</li><li>Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search</li><li>Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV</li><li>Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects.</li><li>Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner</li><li>Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable addition.</li></ul> You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry. Job Requirement Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL DatabaseOptional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.<ul><li>Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java.</li><li>Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search.</li><li>Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV.</li><li>Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.</li></ul> Good to have: <ul><li>Experience of working on Data Lake & Lakehouse projects</li><li>Experience of building REST services and implementing service-oriented architectures.</li><li>Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner.</li><li>Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE)</li></ul>

If you are passionate about working on business problems that can be solved using structured and unstructured data at large scale, Tiger Analytics would like to talk to you.Now hiring for multiple opportunities in Data Engineering (Azure) for an immediate full-time role. This is a remote opportunity. The Azure Principal Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics. Job description: <ul><li>Strong experience working as a Data Engineer with excellent proficiency in Python, SQL, Azure and Databricks.</li><li>Experience extracting/querying/joining large data sets at scale</li><li>Experience building data platforms using Azure stack.</li><li>Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data.</li><li>Strong knowledge on Azure Storage schematics such as Gen1 and Gen2</li><li>Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks</li><li>Knowledge of Azure networking, security, key vaults, etc.</li><li>Experience in data wrangling, advanced analytic modeling, and AI/ML capabilities is preferred</li><li>Experience utilizing Snowflake to build data marts with the data residing in Azure storage is a plus</li><li>Strong communication and organizational skills</li></ul> You would need valid work authorization to work in the US or Canada. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Data Engineer Tiger Analytics Jobs

Data Engineer Snowflake
May 31, 2024

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May 21, 2024

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Senior Data Engineer
May 19, 2024

Azure Principal Data Engineer
May 14, 2024

Azure Principal Data Engineer
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Data Engineer Azure
May 11, 2024

Azure Big Data Engineer
May 10, 2024

Big Data Engineer Azure
May 9, 2024

Azure Principal Data Engineer
May 9, 2024

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Data Engineer Tiger Analytics Jobs

Data Engineer SnowflakeMay 31, 2024

Unpublished Data Engineer SnowflakeMay 21, 2024

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Senior Data EngineerMay 19, 2024

Azure Principal Data EngineerMay 14, 2024

Azure Principal Data EngineerMay 12, 2024

Data Engineer AzureMay 11, 2024

Azure Big Data EngineerMay 10, 2024

Big Data Engineer AzureMay 9, 2024

Azure Principal Data EngineerMay 9, 2024