11+ OLTP Jobs in Bangalore (Bengaluru) | OLTP Job openings in Bangalore (Bengaluru)

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

• Graduate+ in Mathematics, Statistics, Computer Science, Economics, Business, Engineering or equivalent work experience.
• Total experience of 5+ years with at least 2 years in managing data quality for high scale data platforms.
• Good knowledge of SQL querying.
• Strong skill in analysing data and uncovering patterns using SQL or Python.
• Excellent understanding of data warehouse/big data concepts such data extraction, data transformation, data loading (ETL process).
• Strong background in automation and building automated testing frameworks for data ingestion and transformation jobs.
• Experience in big data technologies a big plus.
• Experience in machine learning, especially in data quality applications a big plus.
• Experience in building data quality automation frameworks a big plus.
• Strong experience working with an Agile development team with rapid iterations. 
• Very strong verbal and written communication, and presentation skills.
• Ability to quickly understand business rules.
• Ability to work well with others in a geographically distributed team.
• Keen observation skills to analyse data, highly detail oriented.
• Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution.
• Able to identify stakeholders, build relationships, and influence others to get work done.
• Self-directed and self-motivated individual who takes complete ownership of the product and its outcome.

- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques

- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions

- Must have hands-on and strong experience in Python

- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning

- Strong analytical & algorithm development skills

- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc

- Ability to collaborate across teams and strong interpersonal skills

Skills

- Sound theoretical knowledge in ML algorithm and their application

- Hands-on experience in statistical modeling tools such as R, Python, and SQL

- Hands-on experience in Machine learning/data science

- Strong knowledge of statistics

- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc

- Experience in Natural Language Processing & Deep Learning techniques 

- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.

The Job
The Architect, Machine Learning and Artificial Intelligence including Computer Vision will grow and lead a team of talented Machine Learning (ML), Computer Vision (CV) and Artificial Intelligence (AI) researchers and engineers to develop innovative machine learning algorithms, scalable ML system, and AI applications for Racetrack. This role will be focused on developing and deploying personalization and recommender system, search, experimentation, audience, and content AI solutions to drive user experience and growth.

The Daily

• Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modelling approaches to support product, engineering, content, and marketing initiatives.
• Build and lead a world-class team of ML and AI scientists and engineers.
• Be a hands-on leader to mentor the team in latest machine learning and deep learning approaches, and to introduce new technologies and processes. Single headedly manage the MVP and PoCs
• Work with ML engineers to design solution architecture and develop scalable machine learning system to accelerate learning cycle.
• Identify data science opportunities that deliver business value.
• Develop ML/AI/CV roadmap and educate both internal and external stakeholders at all levels to drive implementation and measurement.
• Hands on experience in Image processing for auto industry
• BFSI domain knowledge is a plus
• Provide thought leadership to enable ML/AI applications.
• Manage products priorities and ensure timely delivery.
• Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
• Prepare and present ML modelling results and analytical insights that help drive the business to senior leadership.

The Essentials

• 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
• 4 + years of managing a team of data scientists, ML and AI researchers and engineers
• Strong machine learning, deep learning, and statistical modelling expertise, such as causal inference modelling, ensembles, neural networks, reinforcement learning, NLP, and computer vision
• Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
• Proficiency in machine learning and deep learning languages and platforms (Python, R, TensorFlow, Keras, PyTorch, MXNet etc.)
• Experience in deploying machine learning algorithms and advanced modelling solutions
• Experience in developing advanced analytics and ML infrastructure and system
• Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
• Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
• Works effectively cross functional teams to build trusted partnership
• Working experience in digital media and entertainment industry preferred
• Experience with Agile methodologies preferred

About - 

https://www.logixhealth.com/" target="_blank">https://www.logixhealth.com/

 

Relevant Years of Exp  - Minimum 4-8 years of experience in data analysis, data reporting, identify and analyze pattern/trends.

 

Knowledge Skill Sets -

 

§ Experience with Tableau dashboard 

§ Careful and attentive to details 

§ Willing and eager to call out mistakes 

§ Beginner to intermediate knowledge of relational databases, reporting, business intelligence 

§ Professional communicator 

§ Inquisitive/Curious readily asking questions about anything that doesn’t make sense or feels right 

§ Good interpersonal skills with a proven ability to communicate effectively (both written and verbal). 

§ Well-developed skill in MS Excel 

§ Displays awareness of the need for confidentially in sensitive matters. 

§ Eye for detailing.

 

Role Description - 

 

§ Execute tasks assigned by reporting manager and/or Bedford SPOC 

§ Identify, analyze, and interpret trends or patterns 

§ Audit and report discrepancies/inconsistencies in Tableau reports/dashboards 

§ Publish weekly/monthly reports in pre-defined format and frequency to reporting manager

 

Job Purpose - 

§ Prepare reports using Tableau for delivery to clients 

§ Adjust parameters and prepare custom reports using previously built dashboards. 

§ Print reports to PDF and deliver to folders on a predetermined schedule 

§ Become familiar with Tableau - our clients, created workbooks, parameters, filters, and databases 

§ QA existing dashboards and look for inconsistencies in naming, filters, charts, tables, etc

 

Note - Looking for Immediate joiner with N.P. of 30 days.

Timing - US shift (6 p.m. - 3.30 a.m.)

Benefits - Transport facility + Night shift Allowance.

Location - Domlur.

Working - 5 days.

 

Reach me ASAP if exploring opportunity with updated resume -

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Thanks and Regards,

M.Swati 

Associate Consultant

 

#intelligenthiring

India | Singapore 

http://www.turtlebowl.com/" target="_blank">www.turtlebowl.com