Location : Chennai, Pune, Noida, Kochi, Hyderabad, Trivandrum.Job Description :- Proficient in SQL, Spark, Scala, and AWS, with a strong command over these technologies.- Minimum 6-7 years of relevant experience in Spark and SQL, plus 2-3 years of hands-on practice in AWS.-...
...engineering workflow- Experience with S3, EC2, EMR, Lambda, Glue, Athena, Airflow, Redshift.- Strong experience with SQL and Scala skills using Spark framework.- Experience with enterprise Data warehousing implementations using Batch and real time systems.- Expertise in working with...
...structures
~Data Warehouse design principles (e.g., Kimball, Inmon)
~Data Lake design principles
~Hands on experience with Databricks, Spark, Delta Lakes, Delta tables.
~Hybrid enterprise data architecture
~Working knowledge of agile development, including DevOps concepts...
...make our customers successful and grow together with us. We actively support you in your training and further development.
Have we sparked your interest?
We look forward to your application documents, stating the earliest possible start date, preferably in an e-mail to...
...expert in Python, Scala, Pyspark, Pytorch, Javascript (any 2 at least) and have extensive experience in data analysis (Big data- Apache Spark environments), data libraries (e.g. Pandas, SciPy, Tensorflow, Keras etc.), and SQL.
~ You are comfortable with one of the many BI...
...automation, we've eliminated the mundane, allowing our team to focus on exceptional customer service, maintain top-notch quality, and spark innovation. Ready to revolutionize the way things are done?
Our Ideal Candidate &##127775;
Are you a financial maestro ready to join...
...Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, Cosmo Db etc.
~ Familiar with cloud services like Azure
~ Hands on experience on spark
~ Hands on experience in programming like python/scala
~ Well versed in DevOps and CI/CD deployments
~ Must have hands on...
...from various sources into data repositories
Implement data ingestion and transformation processes using Azure Databricks and Apache Spark to acquire
data from diverse sources such as databases APIs flat files or streaming data sources and load it into target
data...