7+ Datawarehousing Jobs in Hyderabad | Datawarehousing Job openings in Hyderabad

Job Description for QA Engineer:

• 6-10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience in Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus.
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

Overview:

We are seeking a talented and experienced GCP Data Engineer with strong expertise in Teradata, ETL, and Data Warehousing to join our team. As a key member of our Data Engineering team, you will play a critical role in developing and maintaining data pipelines, optimizing ETL processes, and managing large-scale data warehouses on the Google Cloud Platform (GCP).

Responsibilities:

• Design, implement, and maintain scalable ETL pipelines on GCP (Google Cloud Platform).
• Develop and manage data warehouse solutions using Teradata and cloud-based technologies (BigQuery, Cloud Storage, etc.).
• Build and optimize high-performance data pipelines for real-time and batch data processing.
• Integrate, transform, and load large datasets into GCP-based data lakes and data warehouses.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Write efficient, clean, and reusable code for ETL processes and data workflows.
• Ensure data quality, consistency, and integrity across all pipelines and storage solutions.
• Implement data governance practices and ensure security and compliance of data processes.
• Monitor and troubleshoot data pipeline performance and resolve issues proactively.
• Participate in the design and implementation of scalable data architectures using GCP services like BigQuery, Cloud Dataflow, and Cloud Pub/Sub.
• Optimize and automate data workflows for continuous improvement.
• Maintain up-to-date documentation of data pipeline architectures and processes.

Requirements:

Technical Skills:

• Google Cloud Platform (GCP): Extensive experience with BigQuery, Cloud Storage, Cloud Dataflow, and Cloud Composer.
• ETL Tools: Expertise in building ETL pipelines using tools such as Apache NiFi, Apache Beam, or custom Python-based scripts.
• Data Warehousing: Strong experience working with Teradata for data warehousing, including data modeling, schema design, and performance tuning.
• SQL: Advanced proficiency in SQL and relational databases, particularly in the context of Teradata and GCP environments.
• Programming: Proficient in Python, Java, or Scala for building and automating data processes.
• Data Architecture: Knowledge of best practices in designing scalable data architectures for both structured and unstructured data.

Experience:

• Proven experience as a Data Engineer, with a focus on building and managing ETL pipelines and data warehouse solutions.
• Hands-on experience in data modeling and working with complex, high-volume data in a cloud-based environment.
• Experience with data migration from on-premises to cloud environments (Teradata to GCP).
• Familiarity with Data Lake concepts and technologies.
• Experience with version control systems like Git and working in Agile environments.
• Knowledge of CI/CD and automation processes in data engineering.

Soft Skills:

• Strong problem-solving and troubleshooting skills.
• Excellent communication skills, both verbal and written, for interacting with technical and non-technical teams.
• Ability to work collaboratively in a fast-paced, cross-functional team environment.
• Strong attention to detail and ability to prioritize tasks.

Preferred Qualifications:

• Experience with other GCP tools such as Dataproc, Bigtable, Cloud Functions.
• Knowledge of Terraform or similar infrastructure-as-code tools for managing cloud resources.
• Familiarity with data governance frameworks and data privacy regulations.
• Certifications in Google Cloud or Teradata are a plus.

Benefits:

• Competitive salary and performance-based bonuses.
• Health, dental, and vision insurance.
• 401(k) with company matching.
• Paid time off and flexible work schedules.
• Opportunities for professional growth and development.

Key Responsibilities:

• Lead Data Engineering Team: Provide leadership and mentorship to junior data engineers and ensure best practices in data architecture and pipeline design.
• Data Pipeline Development: Design, implement, and maintain end-to-end ETL (Extract, Transform, Load) processes to support analytics, reporting, and data science activities.
• Cloud Architecture (GCP): Architect and optimize data infrastructure on Google Cloud Platform (GCP), ensuring scalability, reliability, and performance of data systems.
• CI/CD Pipelines: Implement and maintain CI/CD pipelines using Jenkins and other tools to ensure the seamless deployment and automation of data workflows.
• Data Warehousing: Design and implement data warehousing solutions, ensuring optimal performance and efficient data storage using technologies like Teradata, Oracle, and SQL Server.
• Workflow Orchestration: Use Apache Airflow to orchestrate complex data workflows and scheduling of data pipeline jobs.
• Automation with Terraform: Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources.

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Thirega@ vysystems dot com - WhatsApp - 91Five0033Five2Three

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

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.

Technical Project Manager

Exp : 10 to 15 Years

Responsibilities

• Participate in meetings with US client teams to understand business requirements and project milestones. Provide technical suggestions and strategy in project planning.
• Prepare Project Plan and track the project progress of deliverables and Milestones. Report the status to higher management regularly.
• Monitor Budget and Timeline at regular Intervals and plan proactive steps to control them.
• Identifies opportunities for improving business prospects with the client.
• Help team in resolving technical and functional aspects across project life cycle.
• Planning and execution of training, mentoring, and coaching team members.
• Hold regular project reviews with internal & client stakeholders.
• Prepare organized and informative presentations whenever required.
• Resolve and/or escalate issues as and when it is imperative.

Required Skill

• At least 2 years’ experience in managing large technology engineering team or L2/L3 Technology Support team with an overall experience of at least 10 years in IT industry.
• Experience in BI Tools like MicroStrategy, OBIEE, Tableau or ETL Tools like Informatica, Talend, DataStage, and SSIS.
• Experience in Datawarehouse and BI Reporting projects as developer or Lead or Architect
• Experience in generating reports on SLAs, KPIs, metrics and reporting to senior leadership.
• Experience in attracting and hiring excellent talent Ability to mentor, and bring best out of the team. Flexible with working hours based on the service requirement.
• Demonstrate organizational and leadership skills
• Excellent communication (written and spoken) skills
• Experience or knowledge in tools such as JIRA, Confluence, ServiceNow, Splunk, Other monitoring tools etc . Exp on ETL,DWH concepts, L2/L3 Exp

We at Datametica Solutions Private Limited are looking for SQL Engineers who have a passion for cloud with knowledge of different on-premise and cloud Data implementation in the field of Big Data and Analytics including and not limiting to Teradata, Netezza, Exadata, Oracle, Cloudera, Hortonworks and alike. 

Ideal candidates should have technical experience in migrations and the ability to help customers get value from Datametica's tools and accelerators.

Job Description

Experience : 4-10 years

Location : Pune

Mandatory Skills - 

• Strong in ETL/SQL development
• Strong Data Warehousing skills
• Hands-on experience working with Unix/Linux
• Development experience in Enterprise Data warehouse projects
• Good to have experience working with Python, shell scripting
•  

Opportunities -

• Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume and Kafka
• Would get chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
• Will play an active role in setting up the Modern data platform based on Cloud and Big Data
• Would be part of teams with rich experience in various aspects of distributed systems and computing

About Us!

A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.

We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.

Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.

We have our own products!

Eagle – Data warehouse Assessment & Migration Planning Product

Raven – Automated Workload Conversion Product

Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.

Why join us!

Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.

Benefits we Provide!

Working with Highly Technical and Passionate, mission-driven people

Subsidized Meals & Snacks

Flexible Schedule

Approachable leadership

Access to various learning tools and programs

Pet Friendly

Certification Reimbursement Policy

Check out more about us on our website below!

http://www.datametica.com/">www.datametica.com