Responsibilities
Understand business requirement and actively provide inputs from Data perspective.
Experience of SSIS development.
Experience in Migrating SSIS packages to Azure SSIS Integrated Runtime
Experience in Data Warehouse / Data mart development and migration
Good knowledge and Experience on Azure Data Factory
Expert level knowledge of SQL DB & Datawarehouse
Should know at least one programming language (python or PowerShell)
Should be able to analyse and understand complex data flows in SSIS.
Knowledge on Control-M
Knowledge of Azure data lake is required.
Excellent interpersonal/communication skills (both oral/written) with the ability to communicate
at various levels with clarity & precision.
Build simple to complex pipelines & dataflows.
Work with other Azure stack modules like Azure Data Lakes, SQL DW, etc.
Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
A minimum of 5 years’ experience in a similar role.
Strong knowledge of database structure systems and data mining.
Excellent organizational and analytical abilities.
Outstanding problem solver.
Good written and verbal communication skills.
Subodh Popalwar
Software Engineer, Memorres
About MNC
Similar jobs
Mandatory Skills: Azure Data Lake Storage, Azure SQL databases, Azure Synapse, Data Bricks (Pyspark/Spark), Python, SQL, Azure Data Factory.
Good to have: Power BI, Azure IAAS services, Azure Devops, Microsoft Fabric
Ø Very strong understanding on ETL and ELT
Ø Very strong understanding on Lakehouse architecture.
Ø Very strong knowledge in Pyspark and Spark architecture.
Ø Good knowledge in Azure data lake architecture and access controls
Ø Good knowledge in Microsoft Fabric architecture
Ø Good knowledge in Azure SQL databases
Ø Good knowledge in T-SQL
Ø Good knowledge in CI /CD process using Azure devops
Ø Power BI
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
- Strong communication skills are essential, as the selected candidate will be responsible for leading a team of two in the future.
- Proficiency in SQL.
- Expertise in Data Modelling.
- Experience with Azure Data Factory (ADF).
- Competence in Power BI.
- SQL – Should be strong in Data Modeling , Tables Design and SQL Queries.
- ADF – Must have hands-on experience in ADF pipelines and its set-up from End-to-End in Azure including subscriptions, IR and Resource Group creations.
- Power BI – Hands-on knowledge in Power BI reports including documentation and follow existing standards.
Python
GitTechnical & Business Expertise:
-Hands on integration experience in SSIS/Mulesoft
- Hands on experience Azure Synapse
- Proven advanced level of writing database experience in SQL Server
- Proven advanced level of understanding about Data Lake
- Proven intermediate level of writing Python or similar programming language
- Intermediate understanding of Cloud Platforms (GCP)
- Intermediate understanding of Data Warehousing
- Advanced Understanding of Source Control (Github)
- Proficient with SQL Server/T-SQL programming in creation and optimization of complex Stored Procedures, UDF, CTE and Triggers
- Overall Experience should be between 4 to 7 years
- Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts. Experience in SQL server, DW principles and SSIS.
- Should have strong experience in building data transformations with SSIS including importing data from files, and moving data from source to destination.
- Creating new SSIS packages or modifying existing SSIS packages using SQL server
- Debug and fine-tune SSIS processes to ensure accurate and efficient movement of data. Experience with ETL testing & data validation.
- 1+ years of experience with Azure services like Azure Data Factory, Data flow, Azure blob Storage, etc.
- 1+ years of experience with developing Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime.
- Must be able to build Business Intelligence solutions in a collaborative, agile development environment.
- Reporting experience with Power BI or SSRS is a plus.
- Experience working on an Agile/Scrum team preferred.
- Proven strong problem-solving skills, troubleshooting, and root cause analysis.
- Excellent written and verbal communication skills.
- Experience and expertise in Python Development and its different libraries like Pyspark, pandas, NumPy
- Expertise in ADF, Databricks.
- Creating and maintaining data interfaces across a number of different protocols (file, API.).
- Creating and maintaining internal business process solutions to keep our corporate system data in sync and reduce manual processes where appropriate.
- Creating and maintaining monitoring and alerting workflows to improve system transparency.
- Facilitate the development of our Azure cloud infrastructure relative to Data and Application systems.
- Design and lead development of our data infrastructure including data warehouses, data marts, and operational data stores.
- Experience in using Azure services such as ADLS Gen 2, Azure Functions, Azure messaging services, Azure SQL Server, Azure KeyVault, Azure Cognitive services etc.
We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.
In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that
- Has healthcare experience and is passionate about helping heal people,
- Loves working with data,
- Has an obsessive focus on data quality,
- Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
- Has strong data interrogation and analysis skills,
- Defaults to written communication and delivers clean documentation, and,
- Enjoys working with customers and problem solving for them.
A day in the life at Innovaccer:
- Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
- Measure and communicate impact to our customers.
- Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.
What You Need:
- 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
- Intermediate to advanced level SQL programming skills.
- Data Analytics and Visualization (using tools like PowerBI)
- The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
- Ability to work in a fast-paced and agile environment.
- Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.
What we offer:
- Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
- Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
- Health benefits: We cover health insurance for you and your loved ones.
- Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
- Pet-friendly office and open floor plan: No boring cubicles.
MSBI Developer-
We have the following opening in our organization:
Years of Experience: Experience of 4-8 years.
Location- Mumbai ( Thane)/BKC/Andheri
Notice period: Max 15 days or Immediate
Educational Qualification: MCA/ME/Msc-IT/BE/B-Tech/BCA/BSC IT in Computer Science/B.Tech
Requirements:
- 3- 8 years of consulting or relevant work experience
- Should be good in SQL Server 2008 R2 and above.
- Should be excellent at SQL, SSRS & SSIS, SSAS,
- Data modeling, Fact & dimension design, work on a data warehouse or dw architecture design.
- Implementing new technology like power BI, power bi modeling.
- Knowledge of Azure or R-programming is an added advantage.
- Experiences in BI and Visualization Technology (Tableau, Power BI).
- Advanced T-SQL programming skill
- Can scope out a simple or semi-complex project based on business requirements and achievable benefits
- Evaluate, design, and implement enterprise IT-based business solutions, often working on-site to help customers deploy their solutions.
2. Assemble large, complex data sets that meet business requirements
3. Identify, design, and implement internal process improvements
4. Optimize data delivery and re-design infrastructure for greater scalability
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
8. Create data tools for analytics and data scientist team members
Skills Required:
1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)
2. Proficient in Python (Programming / Scripting)
3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)
4. In-depth understanding of principles of database structure
5. Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)
6. Proficient in SQL (query solving)
7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)
- Data pre-processing, data transformation, data analysis, and feature engineering
- Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
- Required skills:
- Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
- Fluency in Python (Pandas), PySpark, SQL, or similar
- Azure data factory experience (min 12 months)
- Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
- Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
- Ability to work independently with demonstrated experience in project or program management
- Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment
Follow CutshortSubodh Popalwar
Software Engineer, Memorres