9+ SSIS Jobs in Hyderabad | SSIS Job openings in Hyderabad

Job Summary:

We are looking for an experienced ETL Tester with 5 to 7 years of experience and expertise

in the banking domain. The candidate will be responsible for testing ETL processes,

ensuring data quality, and validating data flows in large-scale projects.

Key Responsibilities:

 Design and execute ETL test cases, ensuring data integrity and accuracy.

 Perform data validation using complex SQL queries.

 Collaborate with business analysts to define testing requirements.

 Track defects and work with developers to resolve issues.

 Conduct performance testing for ETL processes.

 Banking Domain Knowledge: Strong understanding of banking processes such as

payments, loans, credit, accounts, and regulatory reporting.

Required Skills:

 5-7 years of ETL testing experience.

 Strong SQL skills and experience with ETL tools (Informatica, SSIS, etc.).

 Knowledge of banking domain processes.

 Experience with test management tools (JIRA, HP ALM).

 Familiarity with Agile methodologies.

Location – Hyderabad

5+ years of experience designing, developing, validating, and automating ETL processes 3+ years of experience traditional ETL tools such as Visual Studio, SQL Server Management Studio, SSIS, SSAS and SSRS 2+ years of experience with cloud technologies and platforms, such as: Kubernetes, Spark, Kafka, Azure Data Factory, Snowflake, ML Flow, Databricks, Airflow or similar Must have experience with designing and implementing data access layers Must be an expert with SQL/T-SQL and Python Must have experience in Kafka Define and implement data models with various database technologies like MongoDB, CosmosDB, Neo4j, MariaDB and SQL Serve Ingest and publish data from sources and to destinations via an API Exposure to ETL/ELT with using Kafka or Azure Event Hubs with Spark or Databricks is a plus Exposure to healthcare technologies and integrations for FHIR API, HL7 or other HIE protocols is a plus

Skills Required :

Designing, Developing, ETL, Visual Studio, Python, Spark, Kubernetes, Kafka, Azure Data Factory, SQL Server, Airflow, Databricks, T-SQL, MongoDB, CosmosDB, Snowflake, SSIS, SSAS, SSRS, FHIR API, HL7, HIE Protocols

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.

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

Job Description:

Candidate should ideally be a B.E/B.Tech graduate with around 3 to 5 years of experience, with core T-SQL scripting , performance tuning, SSIS, NOSQL skills. The current role requires a core T-SQL , NoSQL and SSIS developer. The SQL Developer will be responsible for:

• Creating & designing database and all database objects such as tables, views, StoredProcedures, functions etc.
• Writing and troubleshooting simple to complex SQL scripts, stored procedures, views, functions, etc. as per the requirement.
• Troubleshooting and fixing all performance issues with respect to databases (objects & scripts).
• SQL Query tuning and performance tuning.
• Develop/migrate existing scripts to SSIS.
• Maintaining referential integrity, domain integrity and column integrity by using the available options such as constraints, etc.
• Maintaining database objects (like tables, views,Stored Procedures) performance by following the tuning tips like normalization, indexes, etc.
• Importing and exporting the data from different sources using tools, writing required scripts.
• Works closely with other members of the team to accomplish the projects.
• Assists project teams to design and develop core business components utilizing  industry-accepted analysis and design standards.
• Provides and/or assists with, project management and project leadership.
• Create and maintain documentation for all the projects.
• Working with NOSQL databases (Mostly on MongoDB) .

PRIMARY SKILLS: 

TSQL, SQL, NoSQL, Performance Tuning, SSIS, Import & Export of data from different data sources and from different formats.

SECONDARY SKILLS:

Database Administration

REQUIRED SKILLS:

• 3+ years of professional experience in working with MSSQL Server 2008 and above.
• 3+ years of professional experience in writing TSQL scripts.
• Thorough experience in SQL query tuning and performance tuning.
• Experience in developing and maintaining SSIS packages.
• Experience in working with NoSQL databases. MongoDB would be preferable.
• Fluent knowledge of MSSQL server DBA.
• Should be a good team player and should possess good attitude and work ethics.
• Should possess excellent communication and written skills.

PREFERRED SKILLS:

• MSSQL DBA.
• SSIS.
• NOSQL, MongoDB

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.

• Expertise in designing and implementing enterprise scale database (OLTP) and Data warehouse solutions.
• Hands on experience in implementing Azure SQL Database, Azure SQL Date warehouse (Azure Synapse Analytics) and big data processing using Azure Databricks and Azure HD Insight.
• Expert in writing T-SQL programming for complex stored procedures, functions, views and query optimization.
• Should be aware of Database development for both on-premise and SAAS Applications using SQL Server and PostgreSQL.
• Experience in ETL and ELT implementations using Azure Data Factory V2 and SSIS.
• Experience and expertise in building machine learning models using Logistic and linear regression, Decision tree  and Random forest Algorithms.
• PolyBase queries for exporting and importing data into Azure Data Lake.
• Building data models both tabular and multidimensional using SQL Server data tools.
• Writing data preparation, cleaning and processing steps using Python, SCALA, and R.
• Programming experience using python libraries NumPy, Pandas and Matplotlib.
• Implementing NOSQL databases and writing queries using cypher.
• Designing end user visualizations using Power BI, QlikView and Tableau.
• Experience working with all versions of SQL Server 2005/2008/2008R2/2012/2014/2016/2017/2019
• Experience using the expression languages MDX and DAX.
• Experience in migrating on-premise SQL server database to Microsoft Azure.
• Hands on experience in using Azure blob storage, Azure Data Lake Storage Gen1 and Azure Data Lake Storage Gen2.
• Performance tuning complex SQL queries, hands on experience using SQL Extended events.
• Data modeling using Power BI for Adhoc reporting.
• Raw data load automation using T-SQL and SSIS
• Expert in migrating existing on-premise database to SQL Azure.
• Experience in using U-SQL for Azure Data Lake Analytics.
• Hands on experience in generating SSRS reports using MDX.
• Experience in designing predictive models using Python and SQL Server.
• Developing machine learning models using Azure Databricks and SQL Server