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Designation: Senior - DBA
Experience: 6-9 years
CTC: INR 17-20 LPA
Night Allowance: INR 800/Night
Location: Hyderabad,Hybrid
Notice Period: NA
Shift Timing : 6:30 pm to 3:30 am
Openings: 3
Roles and Responsibilities:
As a Senior Database Administrator is responsible for the physical design development
administration and optimization of properly engineered database systems to meet agreed
business and technical requirements.
The candidate will work as part of but not limited to the Onsite/Offsite DBA
group-Administration and management of databases in Dev Stage and Production
environments
Performance tuning of database schema stored procedures etc.
Providing technical input on the setup configuration of database servers and SAN disk
subsystem on all database servers.
Troubleshooting and handling all database related issues and tracking them through to
resolution.
Pro-active monitoring of databases both from a performance and capacity management
perspective.
Performing database maintenance activities such as backup/recovery rebuilding and
reorganizing indexes.
Ensuring that all database releases are properly assessed and measured from a
functionality and performance perspective.
Ensuring that all databases are up to date with the latest service packs patches &
security fixes.
Take ownership and ensure high quality timely delivery of projects on hand.
Collaborate with application/database developers quality assurance and
operations/support staff
Will help manage large high transaction rate SQL Server production
Eligibility:
Bachelors/Master Degree (BE/BTech/MCA/MTect/MS)
6 - 8 years of solid experience in SQL Server 2016/2019 Database administration and
maintenance on Azure and AWS cloud.
Experience handling and managing large SQL Server databases in a real time production
environment with sizes greater than 200+ GB
Experience in troubleshooting and resolving database integrity issues performance
issues blocking/deadlocking issues connectivity issues data replication issues etc.
Experience on Configuration Trouble shoot on SQL Server HA
Ability to detect and troubleshoot database related CPUmemoryI/Odisk space and other
resource contention issues.
Experience with database maintenance activities such as backup/recovery & capacity
monitoring/management and Azure Backup Services.
Experience with HA/Failover technologies such as Clustering SAN Replication Log
shipping & mirroring.
Experience collaborating with development teams on physical database design activities
and performance tuning.
Experience in managing and making software deployments/changes in real time
production environments.
Ability to work on multiple projects at one time with minimal supervision and ensure high
quality timely delivery.
Knowledge on tools like SQL Lite speed SQL Diagnostic Manager App Dynamics.
Strong understanding of Data Warehousing concepts and SQL server Architecture
Certified DBA Proficient in TSQL Proficient in the various Storage technologies such as
ASM SAN NAS RAID Multi patching
Strong analytical and problem solving skills Proactive independent and proven ability to
work under tight target and pressure
Experience working in a highly regulated environment such as a financial services
institutions
Expertise in SSIS SSRS
Skills:
SSIS
SSRS
Key Responsibilities:
•Design, development, support and maintain automated business intelligence products in Tableau.
•Rapidly design, develop and implement reporting applications that insert KPI metrics and actionable insights into the operational, tactical and strategic activities of key business functions.
•Develop strong communication skills with a proven success communicating with users, other tech teams.
•Identify business requirements, design processes that leverage/adapt the business logic and regularly communicate with business stakeholders to ensure delivery meets business needs.
•Design, code and review business intelligence projects developed in tools Tableau & Power BI.
•Work as a member and lead teams to implement BI solutions for our customers.
•Develop dashboards and data sources that meet and exceed customer requirements.
•Partner with business information architects to understand the business use cases that support and fulfill business and data strategy.
•Partner with Product Owners and cross functional teams in a collaborative and agile environment
•Provide best practices for data visualization and Tableau implementations.
•Work along with solution architect in RFI / RFP response solution design, customer presentations, demonstrations, POCs etc. for growth.
Desired Candidate Profile:
•6-10 years of programming experience and a demonstrated proficiency in Experience with Tableau Certifications in Tableau is highly preferred.
•Ability to architect and scope complex projects.
•Strong understanding of SQL and basic understanding of programming languages; experience with SAQL, SOQL, Python, or R a plus.
•Applied experience in Agile development processes (SCRUM)
•Ability to independently learn new technologies.
•Ability to show initiative and work independently with minimal direction.
•Presentation skills – demonstrated ability to simplify complex situations and ideas and distill them into compelling and effective written and oral presentations.
•Learn quickly – ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.
Education:
•Bachelor/master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics
Job Responsibilities
- Design, build & test ETL processes using Python & SQL for the corporate data warehouse
- Inform, influence, support, and execute our product decisions
- Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
- Evaluate and prototype new technologies in the area of data processing
- Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
- High energy level, strong team player and good work ethic
- Data analysis, understanding of business requirements and translation into logical pipelines & processes
- Identification, analysis & resolution of production & development bugs
- Support the release process including completing & reviewing documentation
- Configure data mappings & transformations to orchestrate data integration & validation
- Provide subject matter expertise
- Document solutions, tools & processes
- Create & support test plans with hands-on testing
- Peer reviews of work developed by other data engineers within the team
- Establish good working relationships & communication channels with relevant departments
Skills and Qualifications we look for
- University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
- 4 - 6 years experience with data engineering.
- Strong coding ability and software development experience in Python.
- Strong hands-on experience with SQL and Data Processing.
- Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
- Good working experience in any one of the ETL tools (Airflow would be preferable).
- Should possess strong analytical and problem solving skills.
- Good to have skills - Apache pyspark, CircleCI, Terraform
- Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
- Understanding & experience of agile / scrum delivery methodology
Job Description
Job Responsibilities
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Design and implement robust database solutions including
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Security, backup and recovery
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Performance, scalability, monitoring and tuning,
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Data management and capacity planning,
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Planning, and implementing failover between database instances.
-
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Create data architecture strategies for each subject area of the enterprise data model.
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Communicate plans, status and issues to higher management levels.
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Collaborate with the business, architects and other IT organizations to plan a data strategy, sharing important information related to database concerns and constrains
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Produce all project data architecture deliverables..
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Create and maintain a corporate repository of all data architecture artifacts.
Skills Required:
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Understanding of data analysis, business principles, and operations
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Software architecture and design Network design and implementation
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Data visualization, data migration and data modelling
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Relational database management systems
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DBMS software, including SQL Server
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Database and cloud computing design, architectures and data lakes
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Information management and data processing on multiple platforms
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Agile methodologies and enterprise resource planning implementation
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Demonstrate database technical functionality, such as performance tuning, backup and recovery, monitoring.
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Excellent skills with advanced features such as database encryption, replication, partitioning, etc.
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Strong problem solving, organizational and communication skill.
1. Core Responsibilities
· Leading solutions for data engineering
· Maintain the integrity of both the design and the data that is held within the architecture
· Champion and educate people in the development and use of data engineering best practises
· Support the Head of Data Engineering and lead by example
· Contribute to the development of database management services and associated processes relating to the delivery of data solutions
· Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.
· Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise
· Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.
· Provide support for the scoping and delivery of BI capability to internal users.
· Identify risks and issues and escalate to Line / Project manager.
· Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.
· Develop and maintain documentation in support of all BI processes.
· Proactively identify cost-justifiable improvements to data manipulation processes.
· Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.
· Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.
· Demonstrate enthusiasm and self-motivation at all times.
· Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.
· Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence
· Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.
· Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.
· Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.
2. Experience Requirements
· 5 years Data Engineering / ETL development experience is essential
· 5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential
· 5 years experience of working in a structured Change Management project lifecycle is essential
· Experience of working in a financial services environment is desirable
· Experience of dealing with senior management within a large organisation is desirable
· 5 years experience of developing in conjunction with large complex projects and programmes is desirable
· Experience mentoring other members of the team on best practise and internal standards is essential
· Experience with cloud data platforms desirable (Microsoft Azure) is desirable
3. Knowledge Requirements
· A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential
· Strong demonstrable knowledge of data warehouse methodologies
· Robust understanding of high level business processes is essential
· Understanding of data migration, including reconciliation, data cleanse and cutover is desirable
Job Title: Data Engineer
Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.
Responsibilities:
- Design, build, and maintain data pipelines to collect, store, and process data from various sources.
- Create and manage data warehousing and data lake solutions.
- Develop and maintain data processing and data integration tools.
- Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
- Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
- Ensure data quality and integrity across all data sources.
- Develop and implement best practices for data governance, security, and privacy.
- Monitor data pipeline performance / Errors and troubleshoot issues as needed.
- Stay up-to-date with emerging data technologies and best practices.
Requirements:
Bachelor's degree in Computer Science, Information Systems, or a related field.
Experience with ETL tools like Matillion,SSIS,Informatica
Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.
Experience in writing complex SQL queries
Strong programming skills in languages such as Python, Java, or Scala.
Experience with data modeling, data warehousing, and data integration.
Strong problem-solving skills and ability to work independently.
Excellent communication and collaboration skills.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks
Familiarity with cloud computing platforms such as AWS, Azure, or GCP.
Familiarity with Reporting tools
Teamwork/ growth contribution
- Helping the team in taking the Interviews and identifying right candidates
- Adhering to timelines
- Intime status communication and upfront communication of any risks
- Tech, train, share knowledge with peers.
- Good Communication skills
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
Good to have :
Master's degree in Computer Science, Information Systems, or a related field.
Experience with NoSQL databases such as MongoDB or Cassandra.
Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.
Knowledge of machine learning and statistical modeling techniques.
If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.
Experience – 3 – 12 yrs
Budget - Open
Location - PAN India (Noida/Bangaluru/Hyderabad/Chennai)
Presto Developer (4)
Understanding of distributed SQL query engine running on Hadoop
Design and develop core components for Presto
Contribute to the ongoing Presto development by implementing new features, bug fixes, and other improvements
Develop new and extend existing Presto connectors to various data sources
Lead complex and technically challenging projects from concept to completion
Write tests and contribute to ongoing automation infrastructure development
Run and analyze software performance metrics
Collaborate with teams globally across multiple time zones and operate in an Agile development environment
Hands-on experience and interest with Hadoop
In this role, you will:
As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for:
- Understand business objectives and provide credible challenge to analysis requirements.
- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.
- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.
- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.
- Ensure adherence to data management/ data governance regulations and policies.
- Performing and testing highly complex data analytics for customer remediation.
- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed.
- Investigate and ensure data integrity from multiple sources.
- Ensure data recommended and used is the best “source of truth”.
- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.
- Must have a strong attention to detail and be able to meet high quality standards consistently.
- Other duties as assigned by manager.
- Willing to assist on high priority work outside of regular business hours or weekend as needed.
Essential Qualifications:
- Around 5+ years in similar analytics roles
- Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- Preferred programming knowledge SQL/SAS
- Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus.
- Strong experience with data integration, database structures and data warehouses.
- Persuasive written and verbal communication skills.
Desired Qualifications:
- Certifications in Data Science, or BI Reporting tools.
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills.
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to act with integrity and a high level of professionalism with all levels of team members and management.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities.
- Ability to accurately process high volumes of work within established deadlines.
- Available to flex schedule periodically based on business need.
- Demonstrate strong negotiation, communication & presentation skills.
- Demonstrates a high degree of reliability, integrity and trustworthiness.
- Takes ownership of assignments and helps drive assignments of the team.
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.
- Be proactive and get engaged in organizational initiatives.
Develop complex queries, pipelines and software programs to solve analytics and data mining problems
Interact with other data scientists, product managers, and engineers to understand business problems, technical requirements to deliver predictive and smart data solutions
Prototype new applications or data systems
Lead data investigations to troubleshoot data issues that arise along the data pipelines
Collaborate with different product owners to incorporate data science solutions
Maintain and improve data science platform
Must Have
BS/MS/PhD in Computer Science, Electrical Engineering or related disciplines
Strong fundamentals: data structures, algorithms, database
5+ years of software industry experience with 2+ years in analytics, data mining, and/or data warehouse
Fluency with Python
Experience developing web services using REST approaches.
Proficiency with SQL/Unix/Shell
Experience in DevOps (CI/CD, Docker, Kubernetes)
Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multi-task and manage expectations
Preferred
Industry experience with big data processing technologies such as Spark and Kafka
Experience with machine learning algorithms and/or R a plus
Experience in Java/Scala a plus
Experience with any MPP analytics engines like Vertica
Experience with data integration tools like Pentaho/SAP Analytics Cloud
at Bigdatamatica Solutions Pvt Ltd
Top MNC looking for candidates on Business Analytics(4-8 Years Experience).
Requirement :
- Experience in metric development & Business analytics
- High Data Skill Proficiency/Statistical Skills
- Tools: R, SQL, Python, Advanced Excel
- Good verbal/communication Skills
- Supply Chain domain knowledge
*Job Summary*
Duration: 6months contract based at Hyderabad
Availability: 1 week/Immediate
Qualification: Graduate/PG from Reputed University
*Key Skills*
R, SQL, Advanced Excel, Python
*Required Experience and Qualifications*
5 to 8 years of Business Analytics experience.