73 Hql Jobs - Page 3

Salary: 25 to 40 LPA Exp: 7 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Management & Architecture Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Management & Architecture.- Strong understanding of data governance principles and practices.- Experience with data integration techniques and tools.- Ability to design and implement data models that support business processes.- Familiarity with data quality management and data lifecycle management. Additional Information:- The candidate should have minimum 12 years of experience in SAP Master Data Management & Architecture.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Job Title:Data Engineer Experience5-7Years Location:Pune : Roles & Responsibilities: Create and maintain optimal data pipeline architecture Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvementsautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS ‘Big Data’ technologies Work with stakeholders including the Executive, Product, and program teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems Develops and maintains scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using HQL and 'Big Data' technologies Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Write unit/integration tests, contribute to engineering wiki, and document work Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Who You Are: You’re passionate about Data and building efficient data pipelines You have excellent listening skills and empathetic to others You believe in simple and elegant solutions and give paramount importance to quality You have a track record of building fast, reliable, and high-quality data pipelines Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results Must have skills: AData Engineerwith 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base. A Data Engineer who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Has experience using the following software/tools: Experience with big data tools:Hadoop, Spark, Kafka, Hive etc. Experience with relationalSQLandNoSQL databases, including Postgres and Cassandra Experience withdata pipelineandworkflow management tools Experience with AWS cloud services:EC2, EMR, RDS, Redshift Experience with object-oriented/object function scripting languages:Python, Java, Scala, etc. Experience withAirflow/Ozzie Experience inAWS/Spark/Python development Experience inGIT, JIRA, Jenkins, Shell scripting Familiar withAgile methodology,test-driven development, source control management and automated testing Build processes supporting data transformation, data structures, metadata, dependencies and workload management Experience supporting and working with cross-functional teams in a dynamic environment Nice to have skills: Experience with stream-processing systems:Storm, Spark-Streaming, etc. a plus Experience withSnowflake

Job Title:Data Engineer Experience5-10Years Location:Chennai, Bangalore : Minimum 5+ years of development and design experience in Informatica Big Data Management Extensive knowledge on Oozie scheduling, HQL, Hive, HDFS (including usage of storage controllers) and data partitioning. Extensive experience working with SQL and NoSQL databases. Linux OS configuration and use, including shell scripting. Good hands-on experience with design patterns and their implementation. Well versed with Agile, DevOps and CI/CD principles (GitHub, Jenkins etc.), and actively involved in solving, troubleshooting issues in distributed services ecosystem. Familiar with Distributed services resiliency and monitoring in a production environment. Experience in designing, building, testing, and implementing security systems – Including identifying security design gaps in existing and proposed architectures and recommend changes or enhancements. Responsible for adhering to established policies, following best practices, developing, and possessing an in-depth Understanding of exploits and vulnerabilities, resolving issues by taking the appropriate corrective action. Knowledge on security controls designing Source and Data Transfers including CRON, ETLs, and JDBC-ODBC scripts. Understand basics of Networking including DNS, Proxy, ACL, Policy, and troubleshooting High level knowledge of compliance and regulatory requirements of data including but not limited to encryption, anonymization, data integrity, policy control features in large scale infrastructures. Understand data sensitivity in terms of logging, events and in memory data storage– such as no card numbers or personally identifiable data in logs. Implements wrapper solutions for new/existing components with no/minimal security controls to ensure compliance to bank standards.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Role Proficiency: Acts under very minimal guidance to develop error free code; testing and documenting applications Outcomes: Understand the applications features and component design and develop the same in accordance with user stories/requirements. Code debug test and document; and communicate product/component/feature development stages. Develop optimized code with appropriate approach and algorithms following standards and security guidelines independently Effectively interact with customers and articulate their input Optimise efficiency cost and quality by identifying opportunities for automation/process improvements and agile delivery models Mentor Developer I - Software Engineering to become more effective in their role Learn technology business domain and system domain as recommended by the project/account Set FAST goals and provide feedback to FAST goals of mentees Measures of Outcomes: Adherence to engineering processes and standards (coding standards) Adherence to schedule / timelines Adhere to SLAs where applicable # of defects post delivery # of non-compliance issues Reduction of reoccurrence of known defects Quickly turnaround production bugs Meet the Defined productivity standards for project Completion of applicable technical/domain certifications Completion of all mandatory training requirements Outputs Expected: Configure: Follow configuration process Test: Create and conduct unit testing Domain relevance: Develop features and components with good understanding of the business problem being addressed for the client Manage Defects: Raise fix retest defects Estimate: Estimate time effort and resource dependence for one's own work Mentoring: Mentor junior developers in the team Set FAST goals and provide feedback to FAST goals of mentees Document: Create documentation for one's own work Manage knowledge: Consume and contribute to project related documents share point libraries and client universities Status Reporting: Report status of tasks assigned Comply with project related reporting standards/process Release: Adhere to release management process Design: Understand the design/LLD and link it to requirements/user stories Code: Develop code with guidance for the above Skill Examples: Explain and communicate the design / development to the customer Perform and evaluate test results against product specifications Develop user interfaces business software components and embedded software components Manage and guarantee high levels of cohesion and quality Use data models Estimate effort time required for own work Perform and evaluate tests in the customers or target environments Team player Good written and verbal communication abilities Proactively ask for and offer help Knowledge Examples: Appropriate software programs / modules Technical designing Programming languages DBMS Operating Systems and software platforms Integrated development environment (IDE) Agile methods Knowledge of customer domain and sub domain where problem is solved Additional Comments: Responsibilities and Skills - Manage incident response, root cause analysis, and ensure high system availability. - Oversee support for Hadoop, Spark, Hive, PySpark, Snowflake, and AWS EMR. - Maintain Python Flask APIs, Scala applications, and Airflow workflows. - Optimize SQL/HQL queries and manage shell/bash scripts. - Develop monitoring and ing systems, and provide detailed reporting. - 3+ years in production support/data engineering, with team leadership. - Expertise in Hadoop, Spark, Hive, PySpark, SQL, HQL, Python, Scala, and Python Flask API. - Proficiency in Unix/Linux, shell/bash scripting, Snowflake, and AWS EMR. - Experience with Airflow and incident management. - Strong problem-solving and communication skills. Required Skills Python,Pyspark,Airflow

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Japanese Language Good to have skills : NA Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems that apply across multiple teams. With your expertise and leadership, you will contribute to the success of our projects and drive innovation in application development. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Expected to provide solutions to problems that apply across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for the project Manage the team and ensure successful project delivery.- Engage in daily verbal and written communication with Japanese clients and Accenture Japan to collaboratively perform tasks. Work in a 24x7 environment and execute tasks according to specified procedures and timelines, escalating issues when necessary. Responsible for the day-to-day management of incidents and service request, including ticket creation, analysis, reporting, and follow- up based on Service Level Agreements (SLA) for response and resolution times. Handle Service Desk administrative and analyst tasks, such as logging tickets, assigning tickets, changing ticket status, priority, and description, and generating ticket reports. Professional & Technical Skills: Japanese certification level should be N2 and above. Must To Have Skills:Proficiency in Japanese Language Good to Have knowledge on Python or Java, and team management. Good to have skills:Ab Initio, Python, Hadoop, HQL, Spark, AWS Strong understanding of software development principles and methodologies Experience in designing and developing applications Knowledge of programming languages such as Java or C++ Experience with database management systems Good To Have Skills:Experience with Agile development methodologies Familiarity with cloud platforms such as AWS or Azure Knowledge of front-end development frameworks like React or Angular Additional Information: The candidate should have a minimum of 3 years of experience in Japanese and IT Industry. Language and IT industry. This position is based in Coimbatore A 15 years full-time education is required Qualifications 15 years full time education

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Pune/Bangalore/Gurgaon(Hybrid) Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 30 to 45 LPA Exp: 8 to 11 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Master Data Management & Architecture Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that solutions are effectively implemented across multiple teams, while maintaining a focus on quality and efficiency in application delivery. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Master Data Management & Architecture.- Strong understanding of data governance principles and practices.- Experience with data integration techniques and tools.- Ability to design and implement data models that support business processes.- Familiarity with data quality management and data lifecycle management. Additional Information:- The candidate should have minimum 12 years of experience in SAP Master Data Management & Architecture.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and ETL processes. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Information Lifecycle management ILM Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Ensure timely project delivery- Provide guidance and support to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Information Lifecycle management ILM- Strong understanding of data lifecycle management- Experience in data archiving and retention policies- Knowledge of SAP data management solutions- Hands-on experience in SAP data migration- Experience in SAP data governance Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Information Lifecycle management ILM- This position is based at our Hyderabad office- A BE degree is required Qualification BE

Job Title: Spark/Python/Pentaho Developer Role Description Spark/Python/Pentaho Developer. Need to workon Data Integration project. Mostly batch oriented using Python/Pyspark/Pentaho. Your key responsibilities Hands on Spark/Python/Pentaho programming experience Participating in agile development projects for batch data ingestion. Fast learner into order to understand the current data landscape and existing Python/Spark/Pentaho program to make enhancement. Stakeholder communication Contribute to all stages of software development lifecycle Analyze user requirements to define business objectives Define application objectives and functionality Develop and test software Identify and resolve any technical issues arising Create detailed design documentation Conducting software analysis, programming, testing, and debugging Software upgrades and maintenance Migration of Out of Support Application Software Your skills and experience Experience: Minimum 5-10 years Spark Python programming Pentaho Good in writing Hive HQLs SQLs Oracle database Java/Scala experience is a plus Expertise in unit testing. Know-how with cloud-based infrastructure

Job Title:Data Engineer Experience: 5-7Years Location:Pune Job Description : Roles & Responsibilities: Create and maintain optimal data pipeline architecture Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS Big Data technologies Work with stakeholders including the Executive, Product, and program teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics experts to strive for greater functionality in our data systems Develops and maintains scalable data pipelines and builds out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using HQL and ''Big Data'' technologies Implements processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it Write unit/integration tests, contribute to engineering wiki, and document work Performs root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement Who You Are: Youre passionate about Data and building efficient data pipelines You have excellent listening skills and empathetic to others You believe in simple and elegant solutions and give paramount importance to quality You have a track record of building fast, reliable, and high-quality data pipelines Passionate with good understanding of data, with a focus on having fun, while delivering incredible business results Must have skills: AData Engineerwith 5+ years of relevant experience who is excited to apply their current skills and to grow their knowledge base. A Data Engineer who has attained a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Has experience using the following software/tools: Experience with big data tools:Hadoop, Spark, Kafka, Hive etc. Experience with relationalSQLandNoSQL databases, including Postgres and Cassandra Experience withdata pipelineandworkflow management tools Experience with AWS cloud services:EC2, EMR, RDS, Redshift Experience with object-oriented/object function scripting languages:Python, Java, Scala, etc. Experience withAirflow/Ozzie Experience inAWS/Spark/Python development Experience inGIT, JIRA, Jenkins, Shell scripting Familiar withAgile methodology,test-driven development, source control management and automated testing Build processes supporting data transformation, data structures, metadata, dependencies and workload management Experience supporting and working with cross-functional teams in a dynamic environment Nice to have skills: Experience with stream-processing systems:Storm, Spark-Streaming, etc. a plus Experience withSnowflake