509 data analytics manager jobs in Pune, India.

... process defects.- Experience in articulating and translating business questions using statistical techniques.- Good working exposure of the SQL, PL/SQL, OLTP/OLAP Databases, data analytics tools and techniques.- Should have strong experience in SQL complex Query building.- Should have good understanding of stored procedures, ...

... containers as well as GCP suite, terraform kubernetes, cloud functions You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability. You are passionate about all things data: Big data, small data, moving ...

... machine learning models into data pipelines for enhanced data processing. - Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? - Proficiency in Python, SQL, and database management. - Experience with Data Pipelines ETL, Cloud Services ...

... disruptions of the future. We are looking forward to hire Azure Data Lake (ADL) Professionals in the following areas : Role - Azure Data Engineer Azure Data Lake, Data Factory, Pipelines, Synapse (mandatory) SQL, Python, PySpark / Spark-SQL Web tech, relational DBs, data warehousing, ETL design Microsoft Certified Data Engineer ...

... transformation, and loading of data from a wide variety of data sources using Pyspark, SQL and AWS big data-technologies - Build analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics - Manipulate data at scale: ...

Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...

... background in Python, PySpark, and SQL, to join our growing data engineering team. The ideal candidate will have hands-on experience with cloud data platforms, data modelling, and a proven track record of building and optimising large-scale data pipelines in agile environments. Design, develop, and maintain robust data pipelines ...

... and build scalable data processing systems. The ideal candidate should have hands-on experience working with large datasets, distributed computing, and modern data architectures. Key Responsibilities Design, develop, and maintain big data pipelines using Hadoop and Spark Build scalable data processing frameworks using Scala ...

... industry best practices. Architect and refine data models for large-scale datasets, optimizing for efficient storage, high-performance retrieval, and advanced analytics while upholding data integrity and quality. Partner with cross-functional teams to translate complex business requirements into effective, scalable data engineering ...

Key Responsibilities: Design and implement ELT processes for diverse data sources, including RDBMS, NoSQL databases, and data warehouses Develop and maintain scalable data pipelines for batch and stream processing using JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data ...

... AirflowResponsibilities : - Utilize SnowSQL for querying and managing Snowflake databases and implementing data transformation processes.- Collaborate with analytics and business teams to understand data requirements and provide solutions that meet organizational needs.- Implement and manage data integration solutions using ...

... Generative AI to design, build, and deploy scalable data-driven solutions. The ideal candidate will work closely with business and engineering teams to transform data into actionable insights and production-grade AI systems. Key Responsibilities Data Science & Analytics Analyze large, complex datasets to identify trends, patterns, ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... should have strong hands-on experience with AWS data services, PySpark, SQL, ETL/ELT development, and large-scale data processing. You will work closely with data analysts, data scientists, technology teams, and business stakeholders to deliver robust data solutions that support analytics, reporting, and business intelligence ...

... insights to non-technical audiences Detail-oriented with a focus on data accuracy Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field, or equivalent experience Business Acumen, Collaboration, Communication, Data Analysis, Data-Driven Business Intelligence, Data Visualization, ...

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... complex and large-scale datasets. Strong experience in data analysis, data profiling, reconciliation, and Data Quality (DQ) validation. Ability to explore large datasets and translate analysis into clear findings, recommendations, and actionable insights. Experience working with large volumes of data and understanding of performance ...

... Glue, Lambda, Step Functions, and Apache Spark . Develop and optimize data lake and data warehouse architectures using AWS S3, Redshift, and Athena . Implement data ingestion, transformation, and storage solutions using AWS Glue, Kinesis, and Kafka . Work with structured and unstructured data to develop efficient data pipelines ...